Message Routing

This chapter covers the details of using Spring Integration to route messages.

Routers

This section covers how routers work. It includes the following topics:

Overview

Routers are a crucial element in many messaging architectures. They consume messages from a message channel and forward each consumed message to one or more different message channels depending on a set of conditions.

Spring Integration provides the following routers:

Router implementations share many configuration parameters. However, certain differences exist between routers. Furthermore, the availability of configuration parameters depends on whether routers are used inside or outside a chain. In order to provide a quick overview, all available attributes are listed in the two following tables .

The following table shows the configuration parameters available for a router outside a chain:

Table 1. Routers Outside a Chain
Attribute router header value router xpath router payload type router recipient list route exception type router

apply-sequence

tickmark
tickmark
tickmark
tickmark
tickmark
tickmark

default-output-channel

tickmark
tickmark
tickmark
tickmark
tickmark
tickmark

resolution-required

tickmark
tickmark
tickmark
tickmark
tickmark
tickmark

ignore-send-failures

tickmark
tickmark
tickmark
tickmark
tickmark
tickmark

timeout

tickmark
tickmark
tickmark
tickmark
tickmark
tickmark

id

tickmark
tickmark
tickmark
tickmark
tickmark
tickmark

auto-startup

tickmark
tickmark
tickmark
tickmark
tickmark
tickmark

input-channel

tickmark
tickmark
tickmark
tickmark
tickmark
tickmark

order

tickmark
tickmark
tickmark
tickmark
tickmark
tickmark

method

tickmark

ref

tickmark

expression

tickmark

header-name

tickmark

evaluate-as-string

tickmark

xpath-expression-ref

tickmark

converter

tickmark

The following table shows the configuration parameters available for a router inside a chain:

Table 2. Routers Inside a Chain
Attribute router header value router xpath router payload type router recipient list router exception type router

apply-sequence

tickmark
tickmark
tickmark
tickmark
tickmark
tickmark

default-output-channel

tickmark
tickmark
tickmark
tickmark
tickmark
tickmark

resolution-required

tickmark
tickmark
tickmark
tickmark
tickmark
tickmark

ignore-send-failures

tickmark
tickmark
tickmark
tickmark
tickmark
tickmark

timeout

tickmark
tickmark
tickmark
tickmark
tickmark
tickmark

id

auto-startup

input-channel

order

method

tickmark

ref

tickmark

expression

tickmark

header-name

tickmark

evaluate-as-string

tickmark

xpath-expression-ref

tickmark

converter

tickmark

As of Spring Integration 2.1, router parameters have been more standardized across all router implementations. Consequently, a few minor changes may break older Spring Integration based applications.

Since Spring Integration 2.1, the ignore-channel-name-resolution-failures attribute is removed in favor of consolidating its behavior with the resolution-required attribute. Also, the resolution-required attribute now defaults to true.

Prior to these changes, the resolution-required attribute defaulted to false, causing messages to be silently dropped when no channel was resolved and no default-output-channel was set. The new behavior requires at least one resolved channel and, by default, throws a MessageDeliveryException if no channel was determined (or an attempt to send was not successful).

If you do desire to drop messages silently, you can set default-output-channel="nullChannel".

Common Router Parameters

This section describes the parameters common to all router parameters (the parameters with all their boxes ticked in the two tables shown earlier in this chapter).

Inside and Outside a Chain

The following parameters are valid for all routers inside and outside of chains.

apply-sequence

This attribute specifies whether sequence number and size headers should be added to each message. This optional attribute defaults to false.

default-output-channel

If set, this attribute provides a reference to the channel where messages should be sent if channel resolution fails to return any channels. If no default output channel is provided, the router throws an exception. If you would like to silently drop those messages instead, set the default output channel attribute value to nullChannel.

Starting with version 6.0, setting a default output channel also resets the channelKeyFallback option to false. So, no attempts will be made to resolve a channel from its name, but rather fallback to this default output channel - similar to a Java switch statement. If channelKeyFallback is set to true explicitly, the further logic depends on the resolutionRequired option: the message to non-resolved channel from key can reach a defaultOutputChannel only if resolutionRequired is false. Therefore, a configuration where defaultOutputChannel is provided and both channelKeyFallback & resolutionRequired are set to true is rejected by the AbstractMappingMessageRouter initialization phase.
resolution-required

This attribute specifies whether channel names must always be successfully resolved to channel instances that exist. If set to true, a MessagingException is raised when the channel cannot be resolved. Setting this attribute to false causes any unresolvable channels to be ignored. This optional attribute defaults to true.

A Message is sent only to the default-output-channel, if specified, when resolution-required is false and the channel is not resolved.
ignore-send-failures

If set to true, failures to send to a message channel is ignored. If set to false, a MessageDeliveryException is thrown instead, and, if the router resolves more than one channel, any subsequent channels do not receive the message.

The exact behavior of this attribute depends on the type of the Channel to which the messages are sent. For example, when using direct channels (single threaded), send failures can be caused by exceptions thrown by components much further downstream. However, when sending messages to a simple queue channel (asynchronous), the likelihood of an exception to be thrown is rather remote.

While most routers route to a single channel, they can return more than one channel name. The recipient-list-router, for instance, does exactly that. If you set this attribute to true on a router that only routes to a single channel, any caused exception is swallowed, which usually makes little sense. In that case, it would be better to catch the exception in an error flow at the flow entry point. Therefore, setting the ignore-send-failures attribute to true usually makes more sense when the router implementation returns more than one channel name, because the other channel(s) following the one that fails would still receive the message.

This attribute defaults to false.

timeout

The timeout attribute specifies the maximum amount of time in milliseconds to wait when sending messages to the target Message Channels. By default, the send operation blocks indefinitely.

Top-Level (Outside a Chain)

The following parameters are valid only across all top-level routers that are outside of chains.

id

Identifies the underlying Spring bean definition, which, in the case of routers, is an instance of EventDrivenConsumer or PollingConsumer, depending on whether the router’s input-channel is a SubscribableChannel or a PollableChannel, respectively. This is an optional attribute.

auto-startup

This “lifecycle” attribute signaled whether this component should be started during startup of the application context. This optional attribute defaults to true.

input-channel

The receiving message channel of this endpoint.

order

This attribute defines the order for invocation when this endpoint is connected as a subscriber to a channel. This is particularly relevant when that channel uses a failover dispatching strategy. It has no effect when this endpoint itself is a polling consumer for a channel with a queue.

Router Implementations

Since content-based routing often requires some domain-specific logic, most use cases require Spring Integration’s options for delegating to POJOs by using either the XML namespace support or annotations. Both of these are discussed later. However, we first present a couple of implementations that fulfill common requirements.

PayloadTypeRouter

A PayloadTypeRouter sends messages to the channel defined by payload-type mappings, as the following example shows:

<bean id="payloadTypeRouter"
      class="org.springframework.integration.router.PayloadTypeRouter">
    <property name="channelMapping">
        <map>
            <entry key="java.lang.String" value-ref="stringChannel"/>
            <entry key="java.lang.Integer" value-ref="integerChannel"/>
        </map>
    </property>
</bean>

Configuration of the PayloadTypeRouter is also supported by the namespace provided by Spring Integration (see Namespace Support), which essentially simplifies configuration by combining the <router/> configuration and its corresponding implementation (defined by using a <bean/> element) into a single and more concise configuration element. The following example shows a PayloadTypeRouter configuration that is equivalent to the one above but uses the namespace support:

<int:payload-type-router input-channel="routingChannel">
    <int:mapping type="java.lang.String" channel="stringChannel" />
    <int:mapping type="java.lang.Integer" channel="integerChannel" />
</int:payload-type-router>

The following example shows the equivalent router configured in Java:

@ServiceActivator(inputChannel = "routingChannel")
@Bean
public PayloadTypeRouter router() {
    PayloadTypeRouter router = new PayloadTypeRouter();
    router.setChannelMapping(String.class.getName(), "stringChannel");
    router.setChannelMapping(Integer.class.getName(), "integerChannel");
    return router;
}

When using the Java DSL, there are two options.

First, you can define the router object as shown in the preceding example:

@Bean
public IntegrationFlow routerFlow1() {
    return IntegrationFlow.from("routingChannel")
            .route(router())
            .get();
}

public PayloadTypeRouter router() {
    PayloadTypeRouter router = new PayloadTypeRouter();
    router.setChannelMapping(String.class.getName(), "stringChannel");
    router.setChannelMapping(Integer.class.getName(), "integerChannel");
    return router;
}

Note that the router can be, but does not have to be, a @Bean. The flow registers it if it is not a @Bean.

Second, you can define the routing function within the DSL flow itself, as the following example shows:

@Bean
public IntegrationFlow routerFlow2() {
    return IntegrationFlow.from("routingChannel")
            .<Object, Class<?>>route(Object::getClass, m -> m
                    .channelMapping(String.class, "stringChannel")
                    .channelMapping(Integer.class, "integerChannel"))
            .get();
}
HeaderValueRouter

A HeaderValueRouter sends Messages to the channel based on the individual header value mappings. When a HeaderValueRouter is created, it is initialized with the name of the header to be evaluated. The value of the header could be one of two things:

  • An arbitrary value

  • A channel name

If it is an arbitrary value, additional mappings for these header values to channel names are required. Otherwise, no additional configuration is needed.

Spring Integration provides a simple namespace-based XML configuration to configure a HeaderValueRouter. The following example demonstrates configuration for the HeaderValueRouter when mapping of header values to channels is required:

<int:header-value-router input-channel="routingChannel" header-name="testHeader">
    <int:mapping value="someHeaderValue" channel="channelA" />
    <int:mapping value="someOtherHeaderValue" channel="channelB" />
</int:header-value-router>

During the resolution process, the router defined in the preceding example may encounter channel resolution failures, causing an exception. If you want to suppress such exceptions and send unresolved messages to the default output channel (identified with the default-output-channel attribute) set resolution-required to false.

Normally, messages for which the header value is not explicitly mapped to a channel are sent to the default-output-channel. However, when the header value is mapped to a channel name but the channel cannot be resolved, setting the resolution-required attribute to false results in routing such messages to the default-output-channel.

As of Spring Integration 2.1, the attribute was changed from ignore-channel-name-resolution-failures to resolution-required. Attribute resolution-required defaults to true.

The following example shows the equivalent router configured in Java:

@ServiceActivator(inputChannel = "routingChannel")
@Bean
public HeaderValueRouter router() {
    HeaderValueRouter router = new HeaderValueRouter("testHeader");
    router.setChannelMapping("someHeaderValue", "channelA");
    router.setChannelMapping("someOtherHeaderValue", "channelB");
    return router;
}

When using the Java DSL, there are two options. First, you can define the router object as shown in the preceding example:

@Bean
public IntegrationFlow routerFlow1() {
    return IntegrationFlow.from("routingChannel")
            .route(router())
            .get();
}

public HeaderValueRouter router() {
    HeaderValueRouter router = new HeaderValueRouter("testHeader");
    router.setChannelMapping("someHeaderValue", "channelA");
    router.setChannelMapping("someOtherHeaderValue", "channelB");
    return router;
}

Note that the router can be, but does not have to be, a @Bean. The flow registers it if it is not a @Bean.

Second, you can define the routing function within the DSL flow itself, as the following example shows:

@Bean
public IntegrationFlow routerFlow2() {
    return IntegrationFlow.from("routingChannel")
            .route(Message.class, m -> m.getHeaders().get("testHeader", String.class),
                    m -> m
                        .channelMapping("someHeaderValue", "channelA")
                        .channelMapping("someOtherHeaderValue", "channelB"),
                e -> e.id("headerValueRouter"))
            .get();
}

Configuration where mapping of header values to channel names is not required, because header values themselves represent channel names. The following example shows a router that does not require mapping of header values to channel names:

<int:header-value-router input-channel="routingChannel" header-name="testHeader"/>

Since Spring Integration 2.1, the behavior of resolving channels is more explicit. For example, if you omit the default-output-channel attribute, the router was unable to resolve at least one valid channel, and any channel name resolution failures were ignored by setting resolution-required to false, then a MessageDeliveryException is thrown.

Basically, by default, the router must be able to route messages successfully to at least one channel. If you really want to drop messages, you must also have default-output-channel set to nullChannel.

RecipientListRouter

A RecipientListRouter sends each received message to a statically defined list of message channels. The following example creates a RecipientListRouter:

<bean id="recipientListRouter"
      class="org.springframework.integration.router.RecipientListRouter">
    <property name="channels">
        <list>
            <ref bean="channel1"/>
            <ref bean="channel2"/>
            <ref bean="channel3"/>
        </list>
    </property>
</bean>

Spring Integration also provides namespace support for the RecipientListRouter configuration (see Namespace Support) as the following example shows:

<int:recipient-list-router id="customRouter" input-channel="routingChannel"
        timeout="1234"
        ignore-send-failures="true"
        apply-sequence="true">
  <int:recipient channel="channel1"/>
  <int:recipient channel="channel2"/>
</int:recipient-list-router>

The following example shows the equivalent router configured in Java:

@ServiceActivator(inputChannel = "routingChannel")
@Bean
public RecipientListRouter router() {
    RecipientListRouter router = new RecipientListRouter();
    router.setSendTimeout(1_234L);
    router.setIgnoreSendFailures(true);
    router.setApplySequence(true);
    router.addRecipient("channel1");
    router.addRecipient("channel2");
    router.addRecipient("channel3");
    return router;
}

The following example shows the equivalent router configured by using the Java DSL:

@Bean
public IntegrationFlow routerFlow() {
    return IntegrationFlow.from("routingChannel")
            .routeToRecipients(r -> r
                    .applySequence(true)
                    .ignoreSendFailures(true)
                    .recipient("channel1")
                    .recipient("channel2")
                    .recipient("channel3")
                    .sendTimeout(1_234L))
            .get();
}
The 'apply-sequence' flag here has the same effect as it does for a publish-subscribe-channel, and, as with a publish-subscribe-channel, it is disabled by default on the recipient-list-router. See PublishSubscribeChannel Configuration for more information.

Another convenient option when configuring a RecipientListRouter is to use Spring Expression Language (SpEL) support as selectors for individual recipient channels. Doing so is similar to using a filter at the beginning of a 'chain' to act as a “selective consumer”. However, in this case, it is all combined rather concisely into the router’s configuration, as the following example shows:

<int:recipient-list-router id="customRouter" input-channel="routingChannel">
    <int:recipient channel="channel1" selector-expression="payload.equals('foo')"/>
    <int:recipient channel="channel2" selector-expression="headers.containsKey('bar')"/>
</int:recipient-list-router>

In the preceding configuration, a SpEL expression identified by the selector-expression attribute is evaluated to determine whether this recipient should be included in the recipient list for a given input message. The evaluation result of the expression must be a boolean. If this attribute is not defined, the channel is always among the list of recipients.

RecipientListRouterManagement

Starting with version 4.1, the RecipientListRouter provides several operations to manipulate recipients dynamically at runtime. These management operations are presented by RecipientListRouterManagement through the @ManagedResource annotation. They are available by using Control Bus as well as by using JMX, as the following example shows:

<control-bus input-channel="controlBus"/>

<recipient-list-router id="simpleRouter" input-channel="routingChannelA">
   <recipient channel="channel1"/>
</recipient-list-router>

<channel id="channel2"/>
messagingTemplate.convertAndSend(controlBus, "@'simpleRouter.handler'.addRecipient('channel2')");

From the application start up the simpleRouter, has only one channel1 recipient. But after the addRecipient command, channel2 recipient is added. It is a “registering an interest in something that is part of the message” use case, when we may be interested in messages from the router at some time period, so we are subscribing to the recipient-list-router and, at some point, decide to unsubscribe.

Because of the runtime management operation for the <recipient-list-router>, it can be configured without any <recipient> from the start. In this case, the behavior of RecipientListRouter is the same when there is no one matching recipient for the message. If defaultOutputChannel is configured, the message is sent there. Otherwise the MessageDeliveryException is thrown.

XPath Router

The XPath Router is part of the XML Module. See Routing XML Messages with XPath.

Routing and Error Handling

Spring Integration also provides a special type-based router called ErrorMessageExceptionTypeRouter for routing error messages (defined as messages whose payload is a Throwable instance). ErrorMessageExceptionTypeRouter is similar to the PayloadTypeRouter. In fact, they are almost identical. The only difference is that, while PayloadTypeRouter navigates the instance hierarchy of a payload instance (for example, payload.getClass().getSuperclass()) to find the most specific type and channel mappings, the ErrorMessageExceptionTypeRouter navigates the hierarchy of 'exception causes' (for example, payload.getCause()) to find the most specific Throwable type or channel mappings and uses mappingClass.isInstance(cause) to match the cause to the class or any super class.

The channel mapping order in this case matters. So, if there is a requirement to get mapping for an IllegalArgumentException, but not a RuntimeException, the last one must be configured on router first.
Since version 4.3 the ErrorMessageExceptionTypeRouter loads all mapping classes during the initialization phase to fail-fast for a ClassNotFoundException.

The following example shows a sample configuration for ErrorMessageExceptionTypeRouter:

<int:exception-type-router input-channel="inputChannel"
                           default-output-channel="defaultChannel">
    <int:mapping exception-type="java.lang.IllegalArgumentException"
                 channel="illegalChannel"/>
    <int:mapping exception-type="java.lang.NullPointerException"
                 channel="npeChannel"/>
</int:exception-type-router>

<int:channel id="illegalChannel" />
<int:channel id="npeChannel" />

Configuring a Generic Router

Spring Integration provides a generic router. You can use it for general-purpose routing (as opposed to the other routers provided by Spring Integration, each of which has some form of specialization).

Configuring a Content-based Router with XML

The router element provides a way to connect a router to an input channel and also accepts the optional default-output-channel attribute. The ref attribute references the bean name of a custom router implementation (which must extend AbstractMessageRouter). The following example shows three generic routers:

<int:router ref="payloadTypeRouter" input-channel="input1"
            default-output-channel="defaultOutput1"/>

<int:router ref="recipientListRouter" input-channel="input2"
            default-output-channel="defaultOutput2"/>

<int:router ref="customRouter" input-channel="input3"
            default-output-channel="defaultOutput3"/>

<beans:bean id="customRouterBean" class="org.foo.MyCustomRouter"/>

Alternatively, ref may point to a POJO that contains the @Router annotation (shown later), or you can combine the ref with an explicit method name. Specifying a method applies the same behavior described in the @Router annotation section, later in this document. The following example defines a router that points to a POJO in its ref attribute:

<int:router input-channel="input" ref="somePojo" method="someMethod"/>

We generally recommend using a ref attribute if the custom router implementation is referenced in other <router> definitions. However, if the custom router implementation should be scoped to a single definition of the <router>, you can provide an inner bean definition, as the following example shows:

<int:router method="someMethod" input-channel="input3"
            default-output-channel="defaultOutput3">
    <beans:bean class="org.foo.MyCustomRouter"/>
</int:router>
Using both the ref attribute and an inner handler definition in the same <router> configuration is not allowed. Doing so creates an ambiguous condition and throws an exception.
If the ref attribute references a bean that extends AbstractMessageProducingHandler (such as routers provided by the framework itself), the configuration is optimized to reference the router directly. In this case, each ref attribute must refer to a separate bean instance (or a prototype-scoped bean) or use the inner <bean/> configuration type. However, this optimization applies only if you do not provide any router-specific attributes in the router XML definition. If you inadvertently reference the same message handler from multiple beans, you get a configuration exception.

The following example shows the equivalent router configured in Java:

@Bean
@Router(inputChannel = "routingChannel")
public AbstractMessageRouter myCustomRouter() {
    return new AbstractMessageRouter() {

        @Override
        protected Collection<MessageChannel> determineTargetChannels(Message<?> message) {
            return // determine channel(s) for message
        }

    };
}

The following example shows the equivalent router configured by using the Java DSL:

@Bean
public IntegrationFlow routerFlow() {
    return IntegrationFlow.from("routingChannel")
            .route(myCustomRouter())
            .get();
}

public AbstractMessageRouter myCustomRouter() {
    return new AbstractMessageRouter() {

        @Override
        protected Collection<MessageChannel> determineTargetChannels(Message<?> message) {
            return // determine channel(s) for message
        }

    };
}

Alternately, you can route on data from the message payload, as the following example shows:

@Bean
public IntegrationFlow routerFlow() {
    return IntegrationFlow.from("routingChannel")
            .route(String.class, p -> p.contains("foo") ? "fooChannel" : "barChannel")
            .get();
}

Routers and the Spring Expression Language (SpEL)

Sometimes, the routing logic may be simple, and writing a separate class for it and configuring it as a bean may seem like overkill. As of Spring Integration 2.0, we offer an alternative that lets you use SpEL to implement simple computations that previously required a custom POJO router.

For more information about the Spring Expression Language, see the relevant chapter in the Spring Framework Reference Guide.

Generally, a SpEL expression is evaluated and its result is mapped to a channel, as the following example shows:

<int:router input-channel="inChannel" expression="payload.paymentType">
    <int:mapping value="CASH" channel="cashPaymentChannel"/>
    <int:mapping value="CREDIT" channel="authorizePaymentChannel"/>
    <int:mapping value="DEBIT" channel="authorizePaymentChannel"/>
</int:router>

The following example shows the equivalent router configured in Java:

@Router(inputChannel = "routingChannel")
@Bean
public ExpressionEvaluatingRouter router() {
    ExpressionEvaluatingRouter router = new ExpressionEvaluatingRouter("payload.paymentType");
    router.setChannelMapping("CASH", "cashPaymentChannel");
    router.setChannelMapping("CREDIT", "authorizePaymentChannel");
    router.setChannelMapping("DEBIT", "authorizePaymentChannel");
    return router;
}

The following example shows the equivalent router configured in the Java DSL:

@Bean
public IntegrationFlow routerFlow() {
    return IntegrationFlow.from("routingChannel")
        .route("payload.paymentType", r -> r
            .channelMapping("CASH", "cashPaymentChannel")
            .channelMapping("CREDIT", "authorizePaymentChannel")
            .channelMapping("DEBIT", "authorizePaymentChannel"))
        .get();
}

To simplify things even more, the SpEL expression may evaluate to a channel name, as the following expression shows:

<int:router input-channel="inChannel" expression="payload + 'Channel'"/>

In the preceding configuration, the result channel is computed by the SpEL expression, which concatenates the value of the payload with the literal String, 'Channel'.

Another virtue of SpEL for configuring routers is that an expression can return a Collection, effectively making every <router> a recipient list router. Whenever the expression returns multiple channel values, the message is forwarded to each channel. The following example shows such an expression:

<int:router input-channel="inChannel" expression="headers.channels"/>

In the above configuration, if the message includes a header with a name of 'channels' and the value of that header is a List of channel names, the message is sent to each channel in the list. You may also find collection projection and collection selection expressions useful when you need to select multiple channels. For further information, see:

Configuring a Router with Annotations

When using @Router to annotate a method, the method may return either a MessageChannel or a String type. In the latter case, the endpoint resolves the channel name as it does for the default output channel. Additionally, the method may return either a single value or a collection. If a collection is returned, the reply message is sent to multiple channels. To summarize, the following method signatures are all valid:

@Router
public MessageChannel route(Message message) {...}

@Router
public List<MessageChannel> route(Message message) {...}

@Router
public String route(Foo payload) {...}

@Router
public List<String> route(Foo payload) {...}

In addition to payload-based routing, a message may be routed based on metadata available within the message header as either a property or an attribute. In this case, a method annotated with @Router may include a parameter annotated with @Header, which is mapped to a header value as the following example shows and documented in Annotation Support:

@Router
public List<String> route(@Header("orderStatus") OrderStatus status)
For routing of XML-based Messages, including XPath support, see XML Support - Dealing with XML Payloads.

See also Message Routers in the Java DSL chapter for more information about router configuration.

Dynamic Routers

Spring Integration provides quite a few different router configurations for common content-based routing use cases as well as the option of implementing custom routers as POJOs. For example, PayloadTypeRouter provides a simple way to configure a router that computes channels based on the payload type of the incoming message while HeaderValueRouter provides the same convenience in configuring a router that computes channels by evaluating the value of a particular message Header. There are also expression-based (SpEL) routers, in which the channel is determined based on evaluating an expression. All of these type of routers exhibit some dynamic characteristics.

However, these routers all require static configuration. Even in the case of expression-based routers, the expression itself is defined as part of the router configuration, which means that the same expression operating on the same value always results in the computation of the same channel. This is acceptable in most cases, since such routes are well-defined and therefore predictable. But there are times when we need to change router configurations dynamically so that message flows may be routed to a different channel.

For example, you might want to bring down some part of your system for maintenance and temporarily re-reroute messages to a different message flow. As another example, you may want to introduce more granularity to your message flow by adding another route to handle a more concrete type of java.lang.Number (in the case of PayloadTypeRouter).

Unfortunately, with static router configuration to accomplish either of those goals, you would have to bring down your entire application, change the configuration of the router (change routes), and bring the application back up. This is obviously not a solution anyone wants.

The dynamic router pattern describes the mechanisms by which you can change or configure routers dynamically without bringing down the system or individual routers.

Before we get into the specifics of how Spring Integration supports dynamic routing, we need to consider the typical flow of a router:

  1. Compute a channel identifier, which is a value calculated by the router once it receives the message. Typically, it is a String or an instance of the actual MessageChannel.

  2. Resolve the channel identifier to a channel name. We describe specifics of this process later in this section.

  3. Resolve the channel name to the actual MessageChannel

There is not much that can be done with regard to dynamic routing if Step 1 results in the actual instance of the MessageChannel, because the MessageChannel is the final product of any router’s job. However, if the first step results in a channel identifier that is not an instance of MessageChannel, you have quite a few possible ways to influence the process of deriving the MessageChannel. Consider the following example of a payload type router:

<int:payload-type-router input-channel="routingChannel">
    <int:mapping type="java.lang.String"  channel="channel1" />
    <int:mapping type="java.lang.Integer" channel="channel2" />
</int:payload-type-router>

Within the context of a payload type router, the three steps mentioned earlier would be realized as follows:

  1. Compute a channel identifier that is the fully qualified name of the payload type (for example, java.lang.String).

  2. Resolve the channel identifier to a channel name, where the result of the previous step is used to select the appropriate value from the payload type mapping defined in the mapping element.

  3. Resolve the channel name to the actual instance of the MessageChannel as a reference to a bean within the application context (which is hopefully a MessageChannel) identified by the result of the previous step.

In other words, each step feeds the next step until the process completes.

Now consider an example of a header value router:

<int:header-value-router input-channel="inputChannel" header-name="testHeader">
    <int:mapping value="foo" channel="fooChannel" />
    <int:mapping value="bar" channel="barChannel" />
</int:header-value-router>

Now we can consider how the three steps work for a header value router:

  1. Compute a channel identifier that is the value of the header identified by the header-name attribute.

  2. Resolve the channel identifier to a channel name, where the result of the previous step is used to select the appropriate value from the general mapping defined in the mapping element.

  3. Resolve the channel name to the actual instance of the MessageChannel as a reference to a bean within the application context (which is hopefully a MessageChannel) identified by the result of the previous step.

The preceding two configurations of two different router types look almost identical. However, if you look at the alternate configuration of the HeaderValueRouter we clearly see that there is no mapping sub element, as the following listing shows:

<int:header-value-router input-channel="inputChannel" header-name="testHeader">

However, the configuration is still perfectly valid. So the natural question is what about the mapping in the second step?

The second step is now optional. If mapping is not defined, then the channel identifier value computed in the first step is automatically treated as the channel name, which is now resolved to the actual MessageChannel, as in the third step. What it also means is that the second step is one of the key steps to providing dynamic characteristics to the routers, since it introduces a process that lets you change the way channel identifier resolves to the channel name, thus influencing the process of determining the final instance of the MessageChannel from the initial channel identifier.

For example, in the preceding configuration, assume that the testHeader value is 'kermit', which is now a channel identifier (the first step). Since there is no mapping in this router, resolving this channel identifier to a channel name (the second step) is impossible and this channel identifier is now treated as the channel name. However, what if there was a mapping but for a different value? The end result would still be the same, because, if a new value cannot be determined through the process of resolving the channel identifier to a channel name, the channel identifier becomes the channel name.

All that is left is for the third step to resolve the channel name ('kermit') to an actual instance of the MessageChannel identified by this name. That basically involves a bean lookup for the provided name. Now all messages that contain the header-value pair as testHeader=kermit are going to be routed to a MessageChannel whose bean name (its id) is 'kermit'.

But what if you want to route these messages to the 'simpson' channel? Obviously changing a static configuration works, but doing so also requires bringing your system down. However, if you have had an access to the channel identifier map, you could introduce a new mapping where the header-value pair is now kermit=simpson, thus letting the second step treat 'kermit' as a channel identifier while resolving it to 'simpson' as the channel name.

The same obviously applies for PayloadTypeRouter, where you can now remap or remove a particular payload type mapping. In fact, it applies to every other router, including expression-based routers, since their computed values now have a chance to go through the second step to be resolved to the actual channel name.

Any router that is a subclass of the AbstractMappingMessageRouter (which includes most framework-defined routers) is a dynamic router, because the channelMapping is defined at the AbstractMappingMessageRouter level. That map’s setter method is exposed as a public method along with the 'setChannelMapping' and 'removeChannelMapping' methods. These let you change, add, and remove router mappings at runtime, as long as you have a reference to the router itself. It also means that you could expose these same configuration options through JMX (see JMX Support) or the Spring Integration control bus (see Control Bus) functionality.

Falling back to the channel key as the channel name is flexible and convenient. However, if you don’t trust the message creator, a malicious actor (who has knowledge of the system) could create a message that is routed to an unexpected channel. For example, if the key is set to the channel name of the router’s input channel, such a message would be routed back to the router, eventually resulting in a stack overflow error. You may therefore wish to disable this feature (set the channelKeyFallback property to false), and change the mappings instead if needed.
Manage Router Mappings using the Control Bus

One way to manage the router mappings is through the control bus pattern, which exposes a control channel to which you can send control messages to manage and monitor Spring Integration components, including routers.

For more information about the control bus, see Control Bus.

Typically, you would send a control message asking to invoke a particular operation on a particular managed component (such as a router). The following managed operations (methods) are specific to changing the router resolution process:

  • public void setChannelMapping(String key, String channelName): Lets you add a new or modify an existing mapping between channel identifier and channel name

  • public void removeChannelMapping(String key): Lets you remove a particular channel mapping, thus disconnecting the relationship between channel identifier and channel name

Note that these methods can be used for simple changes (such as updating a single route or adding or removing a route). However, if you want to remove one route and add another, the updates are not atomic. This means that the routing table may be in an indeterminate state between the updates. Starting with version 4.0, you can now use the control bus to update the entire routing table atomically. The following methods let you do so:

  • public Map<String, String>getChannelMappings(): Returns the current mappings.

  • public void replaceChannelMappings(Properties channelMappings): Updates the mappings. Note that the channelMappings parameter is a Properties object. This arrangement lets a control bus command use the built-in StringToPropertiesConverter, as the following example shows:

"@'router.handler'.replaceChannelMappings('foo=qux \n baz=bar')"

Note that each mapping is separated by a newline character (\n). For programmatic changes to the map, we recommend that you use the setChannelMappings method, due to type-safety concerns. replaceChannelMappings ignores keys or values that are not String objects.

Manage Router Mappings by Using JMX

You can also use Spring’s JMX support to expose a router instance and then use your favorite JMX client (for example, JConsole) to manage those operations (methods) for changing the router’s configuration.

For more information about Spring Integration’s JMX support, see JMX Support.
Routing Slip

Starting with version 4.1, Spring Integration provides an implementation of the routing slip enterprise integration pattern. It is implemented as a routingSlip message header, which is used to determine the next channel in AbstractMessageProducingHandler instances, when an outputChannel is not specified for the endpoint. This pattern is useful in complex, dynamic cases, when it can become difficult to configure multiple routers to determine message flow. When a message arrives at an endpoint that has no output-channel, the routingSlip is consulted to determine the next channel to which the message is sent. When the routing slip is exhausted, normal replyChannel processing resumes.

Configuration for the routing slip is presented as a HeaderEnricher option — a semicolon-separated routing slip that contains path entries, as the following example shows:

<util:properties id="properties">
    <beans:prop key="myRoutePath1">channel1</beans:prop>
    <beans:prop key="myRoutePath2">request.headers[myRoutingSlipChannel]</beans:prop>
</util:properties>

<context:property-placeholder properties-ref="properties"/>

<header-enricher input-channel="input" output-channel="process">
    <routing-slip
        value="${myRoutePath1}; @routingSlipRoutingPojo.get(request, reply);
               routingSlipRoutingStrategy; ${myRoutePath2}; finishChannel"/>
</header-enricher>

The preceding example has:

  • A <context:property-placeholder> configuration to demonstrate that the entries in the routing slip path can be specified as resolvable keys.

  • The <header-enricher> <routing-slip> sub-element is used to populate the RoutingSlipHeaderValueMessageProcessor to the HeaderEnricher handler.

  • The RoutingSlipHeaderValueMessageProcessor accepts a String array of resolved routing slip path entries and returns (from processMessage()) a singletonMap with the path as key and 0 as initial routingSlipIndex.

Routing Slip path entries can contain MessageChannel bean names, RoutingSlipRouteStrategy bean names, and Spring expressions (SpEL). The RoutingSlipHeaderValueMessageProcessor checks each routing slip path entry against the BeanFactory on the first processMessage invocation. It converts entries (which are not bean names in the application context) to ExpressionEvaluatingRoutingSlipRouteStrategy instances. RoutingSlipRouteStrategy entries are invoked multiple times, until they return null or an empty String.

Since the routing slip is involved in the getOutputChannel process, we have a request-reply context. The RoutingSlipRouteStrategy has been introduced to determine the next outputChannel that uses the requestMessage and the reply object. An implementation of this strategy should be registered as a bean in the application context, and its bean name is used in the routing slip path. The ExpressionEvaluatingRoutingSlipRouteStrategy implementation is provided. It accepts a SpEL expression and an internal ExpressionEvaluatingRoutingSlipRouteStrategy.RequestAndReply object is used as the root object of the evaluation context. This is to avoid the overhead of EvaluationContext creation for each ExpressionEvaluatingRoutingSlipRouteStrategy.getNextPath() invocation. It is a simple Java bean with two properties: Message<?> request and Object reply. With this expression implementation, we can specify routing slip path entries by using SpEL (for example, @routingSlipRoutingPojo.get(request, reply) and request.headers[myRoutingSlipChannel]) and avoid defining a bean for the RoutingSlipRouteStrategy.

The requestMessage argument is always a Message<?>. Depending on context, the reply object may be a Message<?>, an AbstractIntegrationMessageBuilder, or an arbitrary application domain object (when, for example, it is returned by a POJO method invoked by a service activator). In the first two cases, the usual Message properties (payload and headers) are available when using SpEL (or a Java implementation). For an arbitrary domain object, these properties are not available. For this reason, be careful when you use routing slips in conjunction with POJO methods if the result is used to determine the next path.
If a routing slip is involved in a distributed environment, we recommend not using inline expressions for the Routing Slip path. This recommendation applies to distributed environments such as cross-JVM applications, using a request-reply through a message broker (such asAMQP Support or JMS Support), or using a persistent MessageStore (Message Store) in the integration flow. The framework uses RoutingSlipHeaderValueMessageProcessor to convert them to ExpressionEvaluatingRoutingSlipRouteStrategy objects, and they are used in the routingSlip message header. Since this class is not Serializable (it cannot be, because it depends on the BeanFactory), the entire Message becomes non-serializable and, in any distributed operation, we end up with a NotSerializableException. To overcome this limitation, register an ExpressionEvaluatingRoutingSlipRouteStrategy bean with the desired SpEL and use its bean name in the routing slip path configuration.

For Java configuration, you can add a RoutingSlipHeaderValueMessageProcessor instance to the HeaderEnricher bean definition, as the following example shows:

@Bean
@Transformer(inputChannel = "routingSlipHeaderChannel")
public HeaderEnricher headerEnricher() {
    return new HeaderEnricher(Collections.singletonMap(IntegrationMessageHeaderAccessor.ROUTING_SLIP,
            new RoutingSlipHeaderValueMessageProcessor("myRoutePath1",
                                                       "@routingSlipRoutingPojo.get(request, reply)",
                                                       "routingSlipRoutingStrategy",
                                                       "request.headers[myRoutingSlipChannel]",
                                                       "finishChannel")));
}

The routing slip algorithm works as follows when an endpoint produces a reply and no outputChannel has been defined:

  • The routingSlipIndex is used to get a value from the routing slip path list.

  • If the value from routingSlipIndex is String, it is used to get a bean from BeanFactory.

  • If a returned bean is an instance of MessageChannel, it is used as the next outputChannel and the routingSlipIndex is incremented in the reply message header (the routing slip path entries remain unchanged).

  • If a returned bean is an instance of RoutingSlipRouteStrategy and its getNextPath does not return an empty String, that result is used as a bean name for the next outputChannel. The routingSlipIndex remains unchanged.

  • If RoutingSlipRouteStrategy.getNextPath returns an empty String or null, the routingSlipIndex is incremented and the getOutputChannelFromRoutingSlip is invoked recursively for the next Routing Slip path item.

  • If the next routing slip path entry is not a String, it must be an instance of RoutingSlipRouteStrategy.

  • When the routingSlipIndex exceeds the size of the routing slip path list, the algorithm moves to the default behavior for the standard replyChannel header.

Process Manager Enterprise Integration Pattern

Enterprise integration patterns include the process manager pattern. You can now easily implement this pattern by using custom process manager logic encapsulated in a RoutingSlipRouteStrategy within the routing slip. In addition to a bean name, the RoutingSlipRouteStrategy can return any MessageChannel object, and there is no requirement that this MessageChannel instance be a bean in the application context. This way, we can provide powerful dynamic routing logic when there is no way to predict which channel should be used. A MessageChannel can be created within the RoutingSlipRouteStrategy and returned. A FixedSubscriberChannel with an associated MessageHandler implementation is a good combination for such cases. For example, you can route to a Reactive Streams, as the following example shows:

@Bean
public PollableChannel resultsChannel() {
    return new QueueChannel();
}
@Bean
public RoutingSlipRouteStrategy routeStrategy() {
    return (requestMessage, reply) -> requestMessage.getPayload() instanceof String
            ? new FixedSubscriberChannel(m ->
            Mono.just((String) m.getPayload())
                    .map(String::toUpperCase)
                    .subscribe(v -> messagingTemplate().convertAndSend(resultsChannel(), v)))
            : new FixedSubscriberChannel(m ->
            Mono.just((Integer) m.getPayload())
                    .map(v -> v * 2)
                    .subscribe(v -> messagingTemplate().convertAndSend(resultsChannel(), v)));
}

Filter

Message filters are used to decide whether a Message should be passed along or dropped based on some criteria, such as a message header value or message content itself. Therefore, a message filter is similar to a router, except that, for each message received from the filter’s input channel, that same message may or may not be sent to the filter’s output channel. Unlike the router, it makes no decision regarding which message channel to send the message to but decides only whether to send the message at all.

As we describe later in this section, the filter also supports a discard channel. In certain cases, it can play the role of a very simple router (or “switch”), based on a boolean condition.

In Spring Integration, you can configure a message filter as a message endpoint that delegates to an implementation of the MessageSelector interface. That interface is itself quite simple, as the following listing shows:

public interface MessageSelector {

    boolean accept(Message<?> message);

}

The MessageFilter constructor accepts a selector instance, as the following example shows:

MessageFilter filter = new MessageFilter(someSelector);

In combination with the namespace and SpEL, you can configure powerful filters with very little Java code.

Configuring a Filter with XML

You can use the <filter> element is used to create a message-selecting endpoint. In addition to input-channel and output-channel attributes, it requires a ref attribute. The ref can point to a MessageSelector implementation, as the following example shows:

<int:filter input-channel="input" ref="selector" output-channel="output"/>

<bean id="selector" class="example.MessageSelectorImpl"/>

Alternatively, you can add the method attribute. In that case, the ref attribute may refer to any object. The referenced method may expect either the Message type or the payload type of inbound messages. The method must return a boolean value. If the method returns 'true', the message is sent to the output channel. The following example shows how to configure a filter that uses the method attribute:

<int:filter input-channel="input" output-channel="output"
    ref="exampleObject" method="someBooleanReturningMethod"/>

<bean id="exampleObject" class="example.SomeObject"/>

If the selector or adapted POJO method returns false, a few settings control the handling of the rejected message. By default, (if configured as in the preceding example) rejected messages are silently dropped. If rejection should instead result in an error condition, set the throw-exception-on-rejection attribute to true, as the following example shows:

<int:filter input-channel="input" ref="selector"
    output-channel="output" throw-exception-on-rejection="true"/>

If you want rejected messages to be routed to a specific channel, provide that reference as the discard-channel, as the following example shows:

<int:filter input-channel="input" ref="selector"
    output-channel="output" discard-channel="rejectedMessages"/>

See also Advising Filters.

Message filters are commonly used in conjunction with a publish-subscribe channel. Many filter endpoints may be subscribed to the same channel, and they decide whether to pass the message to the next endpoint, which could be any of the supported types (such as a service activator). This provides a reactive alternative to the more proactive approach of using a message router with a single point-to-point input channel and multiple output channels.

We recommend using a ref attribute if the custom filter implementation is referenced in other <filter> definitions. However, if the custom filter implementation is scoped to a single <filter> element, you should provide an inner bean definition, as the following example shows:

<int:filter method="someMethod" input-channel="inChannel" output-channel="outChannel">
  <beans:bean class="org.foo.MyCustomFilter"/>
</filter>
Using both the ref attribute and an inner handler definition in the same <filter> configuration is not allowed, as it creates an ambiguous condition and throws an exception.
If the ref attribute references a bean that extends MessageFilter (such as filters provided by the framework itself), the configuration is optimized by injecting the output channel into the filter bean directly. In this case, each ref must be to a separate bean instance (or a prototype-scoped bean) or use the inner <bean/> configuration type. However, this optimization applies only if you do not provide any filter-specific attributes in the filter XML definition. If you inadvertently reference the same message handler from multiple beans, you get a configuration exception.

With the introduction of SpEL support, Spring Integration added the expression attribute to the filter element. It can be used to avoid Java entirely for simple filters, as the following example shows:

<int:filter input-channel="input" expression="payload.equals('nonsense')"/>

The string passed as the value of the expression attribute is evaluated as a SpEL expression with the message available in the evaluation context. If you must include the result of an expression in the scope of the application context, you can use the #{} notation, as defined in the SpEL reference documentation, as the following example shows:

<int:filter input-channel="input"
            expression="payload.matches(#{filterPatterns.nonsensePattern})"/>

If the expression itself needs to be dynamic, you can use an 'expression' sub-element. That provides a level of indirection for resolving the expression by its key from an ExpressionSource. That is a strategy interface that you can implement directly, or you can rely upon a version available in Spring Integration that loads expressions from a “resource bundle” and can check for modifications after a given number of seconds. All of this is demonstrated in the following configuration example, where the expression could be reloaded within one minute if the underlying file had been modified:

<int:filter input-channel="input" output-channel="output">
    <int:expression key="filterPatterns.example" source="myExpressions"/>
</int:filter>

<beans:bean id="myExpressions"
    class="o.s.i.expression.ReloadableResourceBundleExpressionSource">
    <beans:property name="basename" value="config/integration/expressions"/>
    <beans:property name="cacheSeconds" value="60"/>
</beans:bean>

If the ExpressionSource bean is named expressionSource, you need not provide the` source` attribute on the <expression> element. However, in the preceding example, we show it for completeness.

The 'config/integration/expressions.properties' file (or any more-specific version with a locale extension to be resolved in the typical way that resource-bundles are loaded) can contain a key/value pair, as the following example shows:

filterPatterns.example=payload > 100
All of these examples that use expression as an attribute or sub-element can also be applied within transformer, router, splitter, service-activator, and header-enricher elements. The semantics and role of the given component type would affect the interpretation of the evaluation result, in the same way that the return value of a method-invocation would be interpreted. For example, an expression can return strings that are to be treated as message channel names by a router component. However, the underlying functionality of evaluating the expression against the message as the root object and resolving bean names if prefixed with '@' is consistent across all of the core EIP components within Spring Integration.

Configuring a Filter with Annotations

The following example shows how to configure a filter by using annotations:

public class PetFilter {
    ...
    @Filter  (1)
    public boolean dogsOnly(String input) {
        ...
    }
}
1 An annotation indicating that this method is to be used as a filter. It must be specified if this class is to be used as a filter.

All the configuration options provided by the XML element are also available for the @Filter annotation.

The filter can be either referenced explicitly from XML or, if the @MessageEndpoint annotation is defined on the class, detected automatically through classpath scanning.

Splitter

The splitter is a component whose role is to partition a message into several parts and send the resulting messages to be processed independently. Very often, they are upstream producers in a pipeline that includes an aggregator.

Programming Model

The API for performing splitting consists of one base class, AbstractMessageSplitter. It is a MessageHandler implementation that encapsulates features common to splitters, such as filling in the appropriate message headers (CORRELATION_ID, SEQUENCE_SIZE, and SEQUENCE_NUMBER) on the messages that are produced. This filling enables tracking down the messages and the results of their processing (in a typical scenario, these headers get copied to the messages that are produced by the various transforming endpoints). The values can then be used, for example, by a composed message processor.

The following example shows an excerpt from AbstractMessageSplitter:

public abstract class AbstractMessageSplitter
    extends AbstractReplyProducingMessageConsumer {
    ...
    protected abstract Object splitMessage(Message<?> message);

}

To implement a specific splitter in an application, you can extend AbstractMessageSplitter and implement the splitMessage method, which contains logic for splitting the messages. The return value can be one of the following:

  • A Collection or an array of messages or an Iterable (or Iterator) that iterates over messages. In this case, the messages are sent as messages (after the CORRELATION_ID, SEQUENCE_SIZE and SEQUENCE_NUMBER are populated). Using this approach gives you more control — for example, to populate custom message headers as part of the splitting process.

  • A Collection or an array of non-message objects or an Iterable (or Iterator) that iterates over non-message objects. It works like the prior case, except that each collection element is used as a message payload. Using this approach lets you focus on the domain objects without having to consider the messaging system and produces code that is easier to test.

  • a Message or non-message object (but not a collection or an array). It works like the previous cases, except that a single message is sent out.

In Spring Integration, any POJO can implement the splitting algorithm, provided that it defines a method that accepts a single argument and has a return value. In this case, the return value of the method is interpreted as described earlier. The input argument might either be a Message or a simple POJO. In the latter case, the splitter receives the payload of the incoming message. We recommend this approach, because it decouples the code from the Spring Integration API and is typically easier to test.

Iterators

Starting with version 4.1, the AbstractMessageSplitter supports the Iterator type for the value to split. Note, in the case of an Iterator (or Iterable), we don’t have access to the number of underlying items and the SEQUENCE_SIZE header is set to 0. This means that the default SequenceSizeReleaseStrategy of an <aggregator> won’t work and the group for the CORRELATION_ID from the splitter won’t be released; it will remain as incomplete. In this case you should use an appropriate custom ReleaseStrategy or rely on send-partial-result-on-expiry together with group-timeout or a MessageGroupStoreReaper.

Starting with version 5.0, the AbstractMessageSplitter provides protected obtainSizeIfPossible() methods to allow the determination of the size of the Iterable and Iterator objects if that is possible. For example XPathMessageSplitter can determine the size of the underlying NodeList object. And starting with version 5.0.9, this method also properly returns a size of the com.fasterxml.jackson.core.TreeNode.

An Iterator object is useful to avoid the need for building an entire collection in the memory before splitting. For example, when underlying items are populated from some external system (e.g. DataBase or FTP MGET) using iterations or streams.

Stream and Flux

Starting with version 5.0, the AbstractMessageSplitter supports the Java Stream and Reactive Streams Publisher types for the value to split. In this case, the target Iterator is built on their iteration functionality.

In addition, if the splitter’s output channel is an instance of a ReactiveStreamsSubscribableChannel, the AbstractMessageSplitter produces a Flux result instead of an Iterator, and the output channel is subscribed to this Flux for back-pressure-based splitting on downstream flow demand.

Starting with version 5.2, the splitter supports a discardChannel option for sending those request messages for which a split function has returned an empty container (collection, array, stream, Flux etc.). In this case there is just no item to iterate for sending to the outputChannel. The null splitting result remains as an end of flow indicator.

Configuring a Splitter with XML

A splitter can be configured through XML as follows:

<int:channel id="inputChannel"/>

<int:splitter id="splitter"           (1)
  ref="splitterBean"                  (2)
  method="split"                      (3)
  input-channel="inputChannel"        (4)
  output-channel="outputChannel"      (5)
  discard-channel="discardChannel" /> (6)

<int:channel id="outputChannel"/>

<beans:bean id="splitterBean" class="sample.PojoSplitter"/>
1 The ID of the splitter is optional.
2 A reference to a bean defined in the application context. The bean must implement the splitting logic, as described in the earlier section. Optional. If a reference to a bean is not provided, it is assumed that the payload of the message that arrived on the input-channel is an implementation of java.util.Collection and the default splitting logic is applied to the collection, incorporating each individual element into a message and sending it to the output-channel.
3 The method (defined on the bean) that implements the splitting logic. Optional.
4 The input channel of the splitter. Required.
5 The channel to which the splitter sends the results of splitting the incoming message. Optional (because incoming messages can specify a reply channel themselves).
6 The channel to which the request message is sent in case of empty splitting result. Optional (they will stop as in case of null result).

We recommend using a ref attribute if the custom splitter implementation can be referenced in other <splitter> definitions. However, if the custom splitter handler implementation should be scoped to a single definition of the <splitter>, you can configure an inner bean definition, as the following example follows:

<int:splitter id="testSplitter" input-channel="inChannel" method="split"
                output-channel="outChannel">
  <beans:bean class="org.foo.TestSplitter"/>
</int:splitter>
Using both a ref attribute and an inner handler definition in the same <int:splitter> configuration is not allowed, as it creates an ambiguous condition and results in an exception being thrown.
If the ref attribute references a bean that extends AbstractMessageProducingHandler (such as splitters provided by the framework itself), the configuration is optimized by injecting the output channel into the handler directly. In this case, each ref must be a separate bean instance (or a prototype-scoped bean) or use the inner <bean/> configuration type. However, this optimization applies only if you do not provide any splitter-specific attributes in the splitter XML definition. If you inadvertently reference the same message handler from multiple beans, you get a configuration exception.

Configuring a Splitter with Annotations

The @Splitter annotation is applicable to methods that expect either the Message type or the message payload type, and the return values of the method should be a Collection of any type. If the returned values are not actual Message objects, each item is wrapped in a Message as the payload of the Message. Each resulting Message is sent to the designated output channel for the endpoint on which the @Splitter is defined.

The following example shows how to configure a splitter by using the @Splitter annotation:

@Splitter
List<LineItem> extractItems(Order order) {
    return order.getItems()
}

Aggregator

Basically a mirror-image of the splitter, the aggregator is a type of message handler that receives multiple messages and combines them into a single message. In fact, an aggregator is often a downstream consumer in a pipeline that includes a splitter.

Technically, the aggregator is more complex than a splitter, because it is stateful. It must hold the messages to be aggregated and determine when the complete group of messages is ready to be aggregated. In order to do so, it requires a MessageStore.

Functionality

The Aggregator combines a group of related messages, by correlating and storing them, until the group is deemed to be complete. At that point, the aggregator creates a single message by processing the whole group and sends the aggregated message as output.

Implementing an aggregator requires providing the logic to perform the aggregation (that is, the creation of a single message from many). Two related concepts are correlation and release.

Correlation determines how messages are grouped for aggregation. In Spring Integration, correlation is done by default, based on the IntegrationMessageHeaderAccessor.CORRELATION_ID message header. Messages with the same IntegrationMessageHeaderAccessor.CORRELATION_ID are grouped together. However, you can customize the correlation strategy to allow other ways of specifying how the messages should be grouped together. To do so, you can implement a CorrelationStrategy (covered later in this chapter).

To determine the point at which a group of messages is ready to be processed, a ReleaseStrategy is consulted. The default release strategy for the aggregator releases a group when all messages included in a sequence are present, based on the IntegrationMessageHeaderAccessor.SEQUENCE_SIZE header. You can override this default strategy by providing a reference to a custom ReleaseStrategy implementation.

Programming Model

The Aggregation API consists of a number of classes:

  • The interface MessageGroupProcessor, and its subclasses: MethodInvokingAggregatingMessageGroupProcessor and ExpressionEvaluatingMessageGroupProcessor

  • The ReleaseStrategy interface and its default implementation: SimpleSequenceSizeReleaseStrategy

  • The CorrelationStrategy interface and its default implementation: HeaderAttributeCorrelationStrategy

AggregatingMessageHandler

The AggregatingMessageHandler (a subclass of AbstractCorrelatingMessageHandler) is a MessageHandler implementation, encapsulating the common functionality of an aggregator (and other correlating use cases), which are as follows:

  • Correlating messages into a group to be aggregated

  • Maintaining those messages in a MessageStore until the group can be released

  • Deciding when the group can be released

  • Aggregating the released group into a single message

  • Recognizing and responding to an expired group

The responsibility for deciding how the messages should be grouped together is delegated to a CorrelationStrategy instance. The responsibility for deciding whether the message group can be released is delegated to a ReleaseStrategy instance.

The following listing shows a brief highlight of the base AbstractAggregatingMessageGroupProcessor (the responsibility for implementing the aggregatePayloads method is left to the developer):

public abstract class AbstractAggregatingMessageGroupProcessor
              implements MessageGroupProcessor {

    protected Map<String, Object> aggregateHeaders(MessageGroup group) {
        // default implementation exists
    }

    protected abstract Object aggregatePayloads(MessageGroup group, Map<String, Object> defaultHeaders);

}

See DefaultAggregatingMessageGroupProcessor, ExpressionEvaluatingMessageGroupProcessor and MethodInvokingMessageGroupProcessor as out-of-the-box implementations of the AbstractAggregatingMessageGroupProcessor.

Starting with version 5.2, a Function<MessageGroup, Map<String, Object>> strategy is available for the AbstractAggregatingMessageGroupProcessor to merge and compute (aggregate) headers for an output message. The DefaultAggregateHeadersFunction implementation is available with logic that returns all headers that have no conflicts among the group; an absent header on one or more messages within the group is not considered a conflict. Conflicting headers are omitted. Along with the newly introduced DelegatingMessageGroupProcessor, this function is used for any arbitrary (non-AbstractAggregatingMessageGroupProcessor) MessageGroupProcessor implementation. Essentially, the framework injects a provided function into an AbstractAggregatingMessageGroupProcessor instance and wraps all other implementations into a DelegatingMessageGroupProcessor. The difference in logic between the AbstractAggregatingMessageGroupProcessor and the DelegatingMessageGroupProcessor that the latter doesn’t compute headers in advance, before calling the delegate strategy, and doesn’t invoke the function if the delegate returns a Message or AbstractIntegrationMessageBuilder. In that case, the framework assumes that the target implementation has taken care of producing a proper set of headers populated into the returned result. The Function<MessageGroup, Map<String, Object>> strategy is available as the headers-function reference attribute for XML configuration, as the AggregatorSpec.headersFunction() option for the Java DSL and as AggregatorFactoryBean.setHeadersFunction() for plain Java configuration.

The CorrelationStrategy is owned by the AbstractCorrelatingMessageHandler and has a default value based on the IntegrationMessageHeaderAccessor.CORRELATION_ID message header, as the following example shows:

public AbstractCorrelatingMessageHandler(MessageGroupProcessor processor, MessageGroupStore store,
        CorrelationStrategy correlationStrategy, ReleaseStrategy releaseStrategy) {
    ...
    this.correlationStrategy = correlationStrategy == null ?
        new HeaderAttributeCorrelationStrategy(IntegrationMessageHeaderAccessor.CORRELATION_ID) : correlationStrategy;
    this.releaseStrategy = releaseStrategy == null ? new SimpleSequenceSizeReleaseStrategy() : releaseStrategy;
    ...
}

As for the actual processing of the message group, the default implementation is the DefaultAggregatingMessageGroupProcessor. It creates a single Message whose payload is a List of the payloads received for a given group. This works well for simple scatter-gather implementations with a splitter, a publish-subscribe channel, or a recipient list router upstream.

When using a publish-subscribe channel or a recipient list router in this type of scenario, be sure to enable the apply-sequence flag. Doing so adds the necessary headers: CORRELATION_ID, SEQUENCE_NUMBER, and SEQUENCE_SIZE. That behavior is enabled by default for splitters in Spring Integration, but it is not enabled for publish-subscribe channels or for recipient list routers because those components may be used in a variety of contexts in which these headers are not necessary.

When implementing a specific aggregator strategy for an application, you can extend AbstractAggregatingMessageGroupProcessor and implement the aggregatePayloads method. However, there are better solutions, less coupled to the API, for implementing the aggregation logic, which can be configured either through XML or through annotations.

In general, any POJO can implement the aggregation algorithm if it provides a method that accepts a single java.util.List as an argument (parameterized lists are supported as well). This method is invoked for aggregating messages as follows:

  • If the argument is a java.util.Collection<T> and the parameter type T is assignable to Message, the whole list of messages accumulated for aggregation is sent to the aggregator.

  • If the argument is a non-parameterized java.util.Collection or the parameter type is not assignable to Message, the method receives the payloads of the accumulated messages.

  • If the return type is not assignable to Message, it is treated as the payload for a Message that is automatically created by the framework.

In the interest of code simplicity and promoting best practices such as low coupling, testability, and others, the preferred way of implementing the aggregation logic is through a POJO and using the XML or annotation support for configuring it in the application.

Starting with version 5.3, after processing message group, an AbstractCorrelatingMessageHandler performs a MessageBuilder.popSequenceDetails() message headers modification for the proper splitter-aggregator scenario with several nested levels. It is done only if the message group release result is not a collection of messages. In that case a target MessageGroupProcessor is responsible for the MessageBuilder.popSequenceDetails() call while building those messages.

If the MessageGroupProcessor returns a Message, a MessageBuilder.popSequenceDetails() will be performed on the output message only if the sequenceDetails matches with first message in group. (Previously this has been done only if a plain payload or an AbstractIntegrationMessageBuilder has been returned from the MessageGroupProcessor.)

This functionality can be controlled by a new popSequence boolean property, so the MessageBuilder.popSequenceDetails() can be disabled in some scenarios when correlation details have not been populated by the standard splitter. This property, essentially, undoes what has been done by the nearest upstream applySequence = true in the AbstractMessageSplitter. See Splitter for more information.

The SimpleMessageGroup.getMessages() method returns an unmodifiableCollection. Therefore, if an aggregating POJO method has a Collection<Message> parameter, the argument passed in is exactly that Collection instance and, when you use a SimpleMessageStore for the aggregator, that original Collection<Message> is cleared after releasing the group. Consequently, the Collection<Message> variable in the POJO is cleared too, if it is passed out of the aggregator. If you wish to simply release that collection as-is for further processing, you must build a new Collection (for example, new ArrayList<Message>(messages)). Starting with version 4.3, the framework no longer copies the messages to a new collection, to avoid undesired extra object creation.

Prior to version 4.2, it was not possible to provide a MessageGroupProcessor by using XML configuration. Only POJO methods could be used for aggregation. Now, if the framework detects that the referenced (or inner) bean implements MessageProcessor, it is used as the aggregator’s output processor.

If you wish to release a collection of objects from a custom MessageGroupProcessor as the payload of a message, your class should extend AbstractAggregatingMessageGroupProcessor and implement aggregatePayloads().

Also, since version 4.2, a SimpleMessageGroupProcessor is provided. It returns the collection of messages from the group, which, as indicated earlier, causes the released messages to be sent individually.

This lets the aggregator work as a message barrier, where arriving messages are held until the release strategy fires and the group is released as a sequence of individual messages.

Starting with version 6.0, the splitting behaviour, described above, works only if the group processor is a SimpleMessageGroupProcessor. Otherwise, with any other MessageGroupProcessor implementation that returns a Collection<Message>, only a single reply message is emitted with the whole collection of messages as its payload. Such logic is dictated by the canonical purpose of an aggregator - collect request messages by some key and produce a single grouped message.

ReleaseStrategy

The ReleaseStrategy interface is defined as follows:

public interface ReleaseStrategy {

  boolean canRelease(MessageGroup group);

}

In general, any POJO can implement the completion decision logic if it provides a method that accepts a single java.util.List as an argument (parameterized lists are supported as well) and returns a boolean value. This method is invoked after the arrival of each new message, to decide whether the group is complete or not, as follows:

  • If the argument is a java.util.List<T> and the parameter type T is assignable to Message, the whole list of messages accumulated in the group is sent to the method.

  • If the argument is a non-parametrized java.util.List or the parameter type is not assignable to Message, the method receives the payloads of the accumulated messages.

  • The method must return true if the message group is ready for aggregation or false otherwise.

The following example shows how to use the @ReleaseStrategy annotation for a List of type Message:

public class MyReleaseStrategy {

    @ReleaseStrategy
    public boolean canMessagesBeReleased(List<Message<?>>) {...}
}

The following example shows how to use the @ReleaseStrategy annotation for a List of type String:

public class MyReleaseStrategy {

    @ReleaseStrategy
    public boolean canMessagesBeReleased(List<String>) {...}
}

Based on the signatures in the preceding two examples, the POJO-based release strategy is passed a Collection of not-yet-released messages (if you need access to the whole Message) or a Collection of payload objects (if the type parameter is anything other than Message). This satisfies the majority of use cases. However, if, for some reason, you need to access the full MessageGroup, you should provide an implementation of the ReleaseStrategy interface.

When handling potentially large groups, you should understand how these methods are invoked, because the release strategy may be invoked multiple times before the group is released. The most efficient is an implementation of ReleaseStrategy, because the aggregator can invoke it directly. The second most efficient is a POJO method with a Collection<Message<?>> parameter type. The least efficient is a POJO method with a Collection<Something> type. The framework has to copy the payloads from the messages in the group into a new collection (and possibly attempt conversion on the payloads to Something) every time the release strategy is called. Using Collection<?> avoids the conversion but still requires creating the new Collection.

For these reasons, for large groups, we recommended that you implement ReleaseStrategy.

When the group is released for aggregation, all its not-yet-released messages are processed and removed from the group. If the group is also complete (that is, if all messages from a sequence have arrived or if there is no sequence defined), then the group is marked as complete. Any new messages for this group are sent to the discard channel (if defined). Setting expire-groups-upon-completion to true (the default is false) removes the entire group, and any new messages (with the same correlation ID as the removed group) form a new group. You can release partial sequences by using a MessageGroupStoreReaper together with send-partial-result-on-expiry being set to true.

To facilitate discarding of late-arriving messages, the aggregator must maintain state about the group after it has been released. This can eventually cause out-of-memory conditions. To avoid such situations, you should consider configuring a MessageGroupStoreReaper to remove the group metadata. The expiry parameters should be set to expire groups once a point has been reach after which late messages are not expected to arrive. For information about configuring a reaper, see Managing State in an Aggregator: MessageGroupStore.

Spring Integration provides an implementation for ReleaseStrategy: SimpleSequenceSizeReleaseStrategy. This implementation consults the SEQUENCE_NUMBER and SEQUENCE_SIZE headers of each arriving message to decide when a message group is complete and ready to be aggregated. As shown earlier, it is also the default strategy.

Before version 5.0, the default release strategy was SequenceSizeReleaseStrategy, which does not perform well with large groups. With that strategy, duplicate sequence numbers are detected and rejected. This operation can be expensive.

If you are aggregating large groups, you don’t need to release partial groups, and you don’t need to detect/reject duplicate sequences, consider using the SimpleSequenceSizeReleaseStrategy instead - it is much more efficient for these use cases, and is the default since version 5.0 when partial group release is not specified.

Aggregating Large Groups

The 4.3 release changed the default Collection for messages in a SimpleMessageGroup to HashSet (it was previously a BlockingQueue). This was expensive when removing individual messages from large groups (an O(n) linear scan was required). Although the hash set is generally much faster to remove, it can be expensive for large messages, because the hash has to be calculated on both inserts and removes. If you have messages that are expensive to hash, consider using some other collection type. As discussed in Using MessageGroupFactory, a SimpleMessageGroupFactory is provided so that you can select the Collection that best suits your needs. You can also provide your own factory implementation to create some other Collection<Message<?>>.

The following example shows how to configure an aggregator with the previous implementation and a SimpleSequenceSizeReleaseStrategy:

<int:aggregator input-channel="aggregate"
    output-channel="out" message-store="store" release-strategy="releaser" />

<bean id="store" class="org.springframework.integration.store.SimpleMessageStore">
    <property name="messageGroupFactory">
        <bean class="org.springframework.integration.store.SimpleMessageGroupFactory">
            <constructor-arg value="BLOCKING_QUEUE"/>
        </bean>
    </property>
</bean>

<bean id="releaser" class="SimpleSequenceSizeReleaseStrategy" />
If the filter endpoint is involved in the flow upstream of an aggregator, the sequence size release strategy (fixed or based on the sequenceSize header) is not going to serve its purpose because some messages from a sequence may be discarded by the filter. In this case it is recommended to choose another ReleaseStrategy, or use compensation messages sent from a discard sub-flow carrying some information in their content to be skipped in a custom complete group function. See Filter for more information.
Correlation Strategy

The CorrelationStrategy interface is defined as follows:

public interface CorrelationStrategy {

  Object getCorrelationKey(Message<?> message);

}

The method returns an Object that represents the correlation key used for associating the message with a message group. The key must satisfy the criteria used for a key in a Map with respect to the implementation of equals() and hashCode().

In general, any POJO can implement the correlation logic, and the rules for mapping a message to a method’s argument (or arguments) are the same as for a ServiceActivator (including support for @Header annotations). The method must return a value, and the value must not be null.

Spring Integration provides an implementation for CorrelationStrategy: HeaderAttributeCorrelationStrategy. This implementation returns the value of one of the message headers (whose name is specified by a constructor argument) as the correlation key. By default, the correlation strategy is a HeaderAttributeCorrelationStrategy that returns the value of the CORRELATION_ID header attribute. If you have a custom header name you would like to use for correlation, you can configure it on an instance of HeaderAttributeCorrelationStrategy and provide that as a reference for the aggregator’s correlation strategy.

Lock Registry

Changes to groups are thread safe. So, when you send messages for the same correlation ID concurrently, only one of them will be processed in the aggregator, making it effectively as a single-threaded per message group. A LockRegistry is used to obtain a lock for the resolved correlation ID. A DefaultLockRegistry is used by default (in-memory). For synchronizing updates across servers where a shared MessageGroupStore is being used, you must configure a shared lock registry.

Avoiding Deadlocks

As discussed above, when message groups are mutated (messages added or released) a lock is held.

Consider the following flow:

...->aggregator1-> ... ->aggregator2-> ...

If there are multiple threads, and the aggregators share a common lock registry, it is possible to get a deadlock. This will cause hung threads and jstack <pid> might present a result such as:

Found one Java-level deadlock:
=============================
"t2":
  waiting for ownable synchronizer 0x000000076c1cbfa0, (a java.util.concurrent.locks.ReentrantLock$NonfairSync),
  which is held by "t1"
"t1":
  waiting for ownable synchronizer 0x000000076c1ccc00, (a java.util.concurrent.locks.ReentrantLock$NonfairSync),
  which is held by "t2"

There are several ways to avoid this problem:

  • ensure each aggregator has its own lock registry (this can be a shared registry across application instances but two or more aggregators in the flow must each have a distinct registry)

  • use an ExecutorChannel or QueueChannel as the output channel of the aggregator so that the downstream flow runs on a new thread

  • starting with version 5.1.1, set the releaseLockBeforeSend aggregator property to true

This problem can also be caused if, for some reason, the output of a single aggregator is eventually routed back to the same aggregator. Of course, the first solution above does not apply in this case.

Configuring an Aggregator in Java DSL

See Aggregators and Resequencers for how to configure an aggregator in Java DSL.

Configuring an Aggregator with XML

Spring Integration supports the configuration of an aggregator with XML through the <aggregator/> element. The following example shows an example of an aggregator:

<channel id="inputChannel"/>

<int:aggregator id="myAggregator"                          (1)
        auto-startup="true"                                (2)
        input-channel="inputChannel"                       (3)
        output-channel="outputChannel"                     (4)
        discard-channel="throwAwayChannel"                 (5)
        message-store="persistentMessageStore"             (6)
        order="1"                                          (7)
        send-partial-result-on-expiry="false"              (8)
        send-timeout="1000"                                (9)

        correlation-strategy="correlationStrategyBean"     (10)
        correlation-strategy-method="correlate"            (11)
        correlation-strategy-expression="headers['foo']"   (12)

        ref="aggregatorBean"                               (13)
        method="aggregate"                                 (14)

        release-strategy="releaseStrategyBean"             (15)
        release-strategy-method="release"                  (16)
        release-strategy-expression="size() == 5"          (17)

        expire-groups-upon-completion="false"              (18)
        empty-group-min-timeout="60000"                    (19)

        lock-registry="lockRegistry"                       (20)

        group-timeout="60000"                              (21)
        group-timeout-expression="size() ge 2 ? 100 : -1"  (22)
        expire-groups-upon-timeout="true"                  (23)

        scheduler="taskScheduler" >                        (24)
            <expire-transactional/>                        (25)
            <expire-advice-chain/>                         (26)
</aggregator>

<int:channel id="outputChannel"/>

<int:channel id="throwAwayChannel"/>

<bean id="persistentMessageStore" class="org.springframework.integration.jdbc.store.JdbcMessageStore">
    <constructor-arg ref="dataSource"/>
</bean>

<bean id="aggregatorBean" class="sample.PojoAggregator"/>

<bean id="releaseStrategyBean" class="sample.PojoReleaseStrategy"/>

<bean id="correlationStrategyBean" class="sample.PojoCorrelationStrategy"/>
1 The id of the aggregator is optional.
2 Lifecycle attribute signaling whether the aggregator should be started during application context startup. Optional (the default is 'true').
3 The channel from which where aggregator receives messages. Required.
4 The channel to which the aggregator sends the aggregation results. Optional (because incoming messages can themselves specify a reply channel in the 'replyChannel' message header).
5 The channel to which the aggregator sends the messages that timed out (if send-partial-result-on-expiry is false). Optional.
6 A reference to a MessageGroupStore used to store groups of messages under their correlation key until they are complete. Optional. By default, it is a volatile in-memory store. See Message Store for more information.
7 The order of this aggregator when more than one handle is subscribed to the same DirectChannel (use for load-balancing purposes). Optional.
8 Indicates that expired messages should be aggregated and sent to the 'output-channel' or 'replyChannel' once their containing MessageGroup is expired (see MessageGroupStore.expireMessageGroups(long)). One way of expiring a MessageGroup is by configuring a MessageGroupStoreReaper. However, you can alternatively expire MessageGroup by calling MessageGroupStore.expireMessageGroups(timeout). You can accomplish that through a Control Bus operation or, if you have a reference to the MessageGroupStore instance, by invoking expireMessageGroups(timeout). Otherwise, by itself, this attribute does nothing. It serves only as an indicator of whether to discard or send to the output or reply channel any messages that are still in the MessageGroup that is about to be expired. Optional (the default is false). NOTE: This attribute might more properly be called send-partial-result-on-timeout, because the group may not actually expire if expire-groups-upon-timeout is set to false.
9 The timeout interval to wait when sending a reply Message to the output-channel or discard-channel. Defaults to -1, which results in blocking indefinitely. It is applied only if the output channel has some 'sending' limitations, such as a QueueChannel with a fixed 'capacity'. In this case, a MessageDeliveryException is thrown. For AbstractSubscribableChannel implementations, the send-timeout is ignored . For group-timeout(-expression), the MessageDeliveryException from the scheduled expiring task leads this task to be rescheduled. Optional.
10 A reference to a bean that implements the message correlation (grouping) algorithm. The bean can be an implementation of the CorrelationStrategy interface or a POJO. In the latter case, the correlation-strategy-method attribute must be defined as well. Optional (by default, the aggregator uses the IntegrationMessageHeaderAccessor.CORRELATION_ID header).
11 A method defined on the bean referenced by correlation-strategy. It implements the correlation decision algorithm. Optional, with restrictions (correlation-strategy must be present).
12 A SpEL expression representing the correlation strategy. Example: "headers['something']". Only one of correlation-strategy or correlation-strategy-expression is allowed.
13 A reference to a bean defined in the application context. The bean must implement the aggregation logic, as described earlier. Optional (by default, the list of aggregated messages becomes a payload of the output message).
14 A method defined on the bean referenced by the ref attribute. It implements the message aggregation algorithm. Optional (it depends on ref attribute being defined).
15 A reference to a bean that implements the release strategy. The bean can be an implementation of the ReleaseStrategy interface or a POJO. In the latter case, the release-strategy-method attribute must be defined as well. Optional (by default, the aggregator uses the IntegrationMessageHeaderAccessor.SEQUENCE_SIZE header attribute).
16 A method defined on the bean referenced by the release-strategy attribute. It implements the completion decision algorithm. Optional, with restrictions (release-strategy must be present).
17 A SpEL expression representing the release strategy. The root object for the expression is a MessageGroup. Example: "size() == 5". Only one of release-strategy or release-strategy-expression is allowed.
18 When set to true (the default is false), completed groups are removed from the message store, letting subsequent messages with the same correlation form a new group. The default behavior is to send messages with the same correlation as a completed group to the discard-channel.
19 Applies only if a MessageGroupStoreReaper is configured for the MessageStore of the <aggregator>. By default, when a MessageGroupStoreReaper is configured to expire partial groups, empty groups are also removed. Empty groups exist after a group is normally released. The empty groups enable the detection and discarding of late-arriving messages. If you wish to expire empty groups on a longer schedule than expiring partial groups, set this property. Empty groups are then not removed from the MessageStore until they have not been modified for at least this number of milliseconds. Note that the actual time to expire an empty group is also affected by the reaper’s timeout property, and it could be as much as this value plus the timeout.
20 A reference to a org.springframework.integration.util.LockRegistry bean. It used to obtain a Lock based on the groupId for concurrent operations on the MessageGroup. By default, an internal DefaultLockRegistry is used. Use of a distributed LockRegistry, such as the ZookeeperLockRegistry, ensures only one instance of the aggregator can operate on a group concurrently. See Redis Lock Registry or Zookeeper Lock Registry for more information.
21 A timeout (in milliseconds) to force the MessageGroup complete when the ReleaseStrategy does not release the group when the current message arrives. This attribute provides a built-in time-based release strategy for the aggregator when there is a need to emit a partial result (or discard the group) if a new message does not arrive for the MessageGroup within the timeout which counts from the time the last message arrived. To set up a timeout which counts from the time the MessageGroup was created see group-timeout-expression information. When a new message arrives at the aggregator, any existing ScheduledFuture<?> for its MessageGroup is canceled. If the ReleaseStrategy returns false (meaning do not release) and groupTimeout > 0, a new task is scheduled to expire the group. We do not advise setting this attribute to zero (or a negative value). Doing so effectively disables the aggregator, because every message group is immediately completed. You can, however, conditionally set it to zero (or a negative value) by using an expression. See group-timeout-expression for information. The action taken during the completion depends on the ReleaseStrategy and the send-partial-group-on-expiry attribute. See Aggregator and Group Timeout for more information. It is mutually exclusive with 'group-timeout-expression' attribute.
22 The SpEL expression that evaluates to a groupTimeout with the MessageGroup as the #root evaluation context object. Used for scheduling the MessageGroup to be forced complete. If the expression evaluates to null, the completion is not scheduled. If it evaluates to zero, the group is completed immediately on the current thread. In effect, this provides a dynamic group-timeout property. As an example, if you wish to forcibly complete a MessageGroup after 10 seconds have elapsed since the time the group was created you might consider using the following SpEL expression: timestamp + 10000 - T(System).currentTimeMillis() where timestamp is provided by MessageGroup.getTimestamp() as the MessageGroup here is the #root evaluation context object. Bear in mind however that the group creation time might differ from the time of the first arrived message depending on other group expiration properties' configuration. See group-timeout for more information. Mutually exclusive with 'group-timeout' attribute.
23 When a group is completed due to a timeout (or by a MessageGroupStoreReaper), the group is expired (completely removed) by default. Late arriving messages start a new group. You can set this to false to complete the group but have its metadata remain so that late arriving messages are discarded. Empty groups can be expired later using a MessageGroupStoreReaper together with the empty-group-min-timeout attribute. It defaults to 'true'.
24 A TaskScheduler bean reference to schedule the MessageGroup to be forced complete if no new message arrives for the MessageGroup within the groupTimeout. If not provided, the default scheduler (taskScheduler) registered in the ApplicationContext (ThreadPoolTaskScheduler) is used. This attribute does not apply if group-timeout or group-timeout-expression is not specified.
25 Since version 4.1. It lets a transaction be started for the forceComplete operation. It is initiated from a group-timeout(-expression) or by a MessageGroupStoreReaper and is not applied to the normal add, release, and discard operations. Only this sub-element or <expire-advice-chain/> is allowed.
26 Since version 4.1. It allows the configuration of any Advice for the forceComplete operation. It is initiated from a group-timeout(-expression) or by a MessageGroupStoreReaper and is not applied to the normal add, release, and discard operations. Only this sub-element or <expire-transactional/> is allowed. A transaction Advice can also be configured here by using the Spring tx namespace.
Expiring Groups

There are two attributes related to expiring (completely removing) groups. When a group is expired, there is no record of it, and, if a new message arrives with the same correlation, a new group is started. When a group is completed (without expiry), the empty group remains and late-arriving messages are discarded. Empty groups can be removed later by using a MessageGroupStoreReaper in combination with the empty-group-min-timeout attribute.

expire-groups-upon-completion relates to “normal” completion when the ReleaseStrategy releases the group. This defaults to false.

If a group is not completed normally but is released or discarded because of a timeout, the group is normally expired. Since version 4.1, you can control this behavior by using expire-groups-upon-timeout. It defaults to true for backwards compatibility.

When a group is timed out, the ReleaseStrategy is given one more opportunity to release the group. If it does so and expire-groups-upon-timeout is false, expiration is controlled by expire-groups-upon-completion. If the group is not released by the release strategy during timeout, then the expiration is controlled by the expire-groups-upon-timeout. Timed-out groups are either discarded or a partial release occurs (based on send-partial-result-on-expiry).

Since version 5.0, empty groups are also scheduled for removal after empty-group-min-timeout. If expireGroupsUponCompletion == false and minimumTimeoutForEmptyGroups > 0, the task to remove the group is scheduled when normal or partial sequences release happens.

Starting with version 5.4, the aggregator (and resequencer) can be configured to expire orphaned groups (groups in a persistent message store that might not otherwise be released). The expireTimeout (if greater than 0) indicates that groups older than this value in the store should be purged. The purgeOrphanedGroups() method is called on start up and, together with the provided expireDuration, periodically within a scheduled task. This method is also can be called externally at any time. The expiration logic is fully delegated to the forceComplete(MessageGroup) functionality according to the provided expiration options mentioned above. Such a periodic purge functionality is useful when a message store is needed to be cleaned up from those old groups which are not going to be released any more with regular message arrival logic. In most cases this happens after an application restart, when using a persistent message group store. The functionality is similar to the MessageGroupStoreReaper with a scheduled task, but provides a convenient way to deal with old groups within specific components, when using group timeout instead of a reaper. The MessageGroupStore must be provided exclusively for the current correlation endpoint. Otherwise, one aggregator may purge groups from another. With the aggregator, groups expired using this technique will either be discarded or released as a partial group, depending on the expireGroupsUponCompletion property.

We generally recommend using a ref attribute if a custom aggregator handler implementation may be referenced in other <aggregator> definitions. However, if a custom aggregator implementation is only being used by a single definition of the <aggregator>, you can use an inner bean definition (starting with version 1.0.3) to configure the aggregation POJO within the <aggregator> element, as the following example shows:

<aggregator input-channel="input" method="sum" output-channel="output">
    <beans:bean class="org.foo.PojoAggregator"/>
</aggregator>
Using both a ref attribute and an inner bean definition in the same <aggregator> configuration is not allowed, as it creates an ambiguous condition. In such cases, an Exception is thrown.

The following example shows an implementation of the aggregator bean:

public class PojoAggregator {

  public Long add(List<Long> results) {
    long total = 0l;
    for (long partialResult: results) {
      total += partialResult;
    }
    return total;
  }
}

An implementation of the completion strategy bean for the preceding example might be as follows:

public class PojoReleaseStrategy {
...
  public boolean canRelease(List<Long> numbers) {
    int sum = 0;
    for (long number: numbers) {
      sum += number;
    }
    return sum >= maxValue;
  }
}
Wherever it makes sense to do so, the release strategy method and the aggregator method can be combined into a single bean.

An implementation of the correlation strategy bean for the example above might be as follows:

public class PojoCorrelationStrategy {
...
  public Long groupNumbersByLastDigit(Long number) {
    return number % 10;
  }
}

The aggregator in the preceding example would group numbers by some criterion (in this case, the remainder after dividing by ten) and hold the group until the sum of the numbers provided by the payloads exceeds a certain value.

Wherever it makes sense to do so, the release strategy method, the correlation strategy method, and the aggregator method can be combined in a single bean. (Actually, all of them or any two of them can be combined.)
Aggregators and Spring Expression Language (SpEL)

Since Spring Integration 2.0, you can handle the various strategies (correlation, release, and aggregation) with SpEL, which we recommend if the logic behind such a release strategy is relatively simple. Suppose you have a legacy component that was designed to receive an array of objects. We know that the default release strategy assembles all aggregated messages in the List. Now we have two problems. First, we need to extract individual messages from the list. Second, we need to extract the payload of each message and assemble the array of objects. The following example solves both problems:

public String[] processRelease(List<Message<String>> messages){
    List<String> stringList = new ArrayList<String>();
    for (Message<String> message : messages) {
        stringList.add(message.getPayload());
    }
    return stringList.toArray(new String[]{});
}

However, with SpEL, such a requirement could actually be handled relatively easily with a one-line expression, thus sparing you from writing a custom class and configuring it as a bean. The following example shows how to do so:

<int:aggregator input-channel="aggChannel"
    output-channel="replyChannel"
    expression="#this.![payload].toArray()"/>

In the preceding configuration, we use a collection projection expression to assemble a new collection from the payloads of all the messages in the list and then transform it to an array, thus achieving the same result as the earlier Java code.

You can apply the same expression-based approach when dealing with custom release and correlation strategies.

Instead of defining a bean for a custom CorrelationStrategy in the correlation-strategy attribute, you can implement your simple correlation logic as a SpEL expression and configure it in the correlation-strategy-expression attribute, as the following example shows:

correlation-strategy-expression="payload.person.id"

In the preceding example, we assume that the payload has a person attribute with an id, which is going to be used to correlate messages.

Likewise, for the ReleaseStrategy, you can implement your release logic as a SpEL expression and configure it in the release-strategy-expression attribute. The root object for evaluation context is the MessageGroup itself. The List of messages can be referenced by using the message property of the group within the expression.

In releases prior to version 5.0, the root object was the collection of Message<?>, as the previous example shows:
release-strategy-expression="!messages.?[payload==5].empty"

In the preceding example, the root object of the SpEL evaluation context is the MessageGroup itself, and you are stating that, as soon as there is a message with payload of 5 in this group, the group should be released.

Aggregator and Group Timeout

Starting with version 4.0, two new mutually exclusive attributes have been introduced: group-timeout and group-timeout-expression. See Configuring an Aggregator with XML. In some cases, you may need to emit the aggregator result (or discard the group) after a timeout if the ReleaseStrategy does not release when the current message arrives. For this purpose, the groupTimeout option lets scheduling the MessageGroup be forced to complete, as the following example shows:

<aggregator input-channel="input" output-channel="output"
        send-partial-result-on-expiry="true"
        group-timeout-expression="size() ge 2 ? 10000 : -1"
        release-strategy-expression="messages[0].headers.sequenceNumber == messages[0].headers.sequenceSize"/>

With this example, the normal release is possible if the aggregator receives the last message in sequence as defined by the release-strategy-expression. If that specific message does not arrive, the groupTimeout forces the group to complete after ten seconds, as long as the group contains at least two Messages.

The results of forcing the group to complete depends on the ReleaseStrategy and the send-partial-result-on-expiry. First, the release strategy is again consulted to see if a normal release is to be made. While the group has not changed, the ReleaseStrategy can decide to release the group at this time. If the release strategy still does not release the group, it is expired. If send-partial-result-on-expiry is true, existing messages in the (partial) MessageGroup are released as a normal aggregator reply message to the output-channel. Otherwise, it is discarded.

There is a difference between groupTimeout behavior and MessageGroupStoreReaper (see Configuring an Aggregator with XML). The reaper initiates forced completion for all MessageGroup s in the MessageGroupStore periodically. The groupTimeout does it for each MessageGroup individually if a new message does not arrive during the groupTimeout. Also, the reaper can be used to remove empty groups (empty groups are retained in order to discard late messages if expire-groups-upon-completion is false).

Starting with version 5.5, the groupTimeoutExpression can be evaluated to a java.util.Date instance. This can be useful in cases like determining a scheduled task moment based on the group creation time (MessageGroup.getTimestamp()) instead of a current message arrival as it is calculated when groupTimeoutExpression is evaluated to long:

group-timeout-expression="size() ge 2 ? new java.util.Date(timestamp + 200) : null"
Configuring an Aggregator with Annotations

The following example shows an aggregator configured with annotations:

public class Waiter {
  ...

  @Aggregator  (1)
  public Delivery aggregatingMethod(List<OrderItem> items) {
    ...
  }

  @ReleaseStrategy  (2)
  public boolean releaseChecker(List<Message<?>> messages) {
    ...
  }

  @CorrelationStrategy  (3)
  public String correlateBy(OrderItem item) {
    ...
  }
}
1 An annotation indicating that this method should be used as an aggregator. It must be specified if this class is used as an aggregator.
2 An annotation indicating that this method is used as the release strategy of an aggregator. If not present on any method, the aggregator uses the SimpleSequenceSizeReleaseStrategy.
3 An annotation indicating that this method should be used as the correlation strategy of an aggregator. If no correlation strategy is indicated, the aggregator uses the HeaderAttributeCorrelationStrategy based on CORRELATION_ID.

All of the configuration options provided by the XML element are also available for the @Aggregator annotation.

The aggregator can be either referenced explicitly from XML or, if the @MessageEndpoint is defined on the class, detected automatically through classpath scanning.

Annotation configuration (@Aggregator and others) for the Aggregator component covers only simple use cases, where most default options are sufficient. If you need more control over those options when using annotation configuration, consider using a @Bean definition for the AggregatingMessageHandler and mark its @Bean method with @ServiceActivator, as the following example shows:

@ServiceActivator(inputChannel = "aggregatorChannel")
@Bean
public MessageHandler aggregator(MessageGroupStore jdbcMessageGroupStore) {
     AggregatingMessageHandler aggregator =
                       new AggregatingMessageHandler(new DefaultAggregatingMessageGroupProcessor(),
                                                 jdbcMessageGroupStore);
     aggregator.setOutputChannel(resultsChannel());
     aggregator.setGroupTimeoutExpression(new ValueExpression<>(500L));
     aggregator.setTaskScheduler(this.taskScheduler);
     return aggregator;
}

See Programming Model and Annotations on @Bean Methods for more information.

Starting with version 4.2, the AggregatorFactoryBean is available to simplify Java configuration for the AggregatingMessageHandler.

Managing State in an Aggregator: MessageGroupStore

Aggregator (and some other patterns in Spring Integration) is a stateful pattern that requires decisions to be made based on a group of messages that have arrived over a period of time, all with the same correlation key. The design of the interfaces in the stateful patterns (such as ReleaseStrategy) is driven by the principle that the components (whether defined by the framework or by a user) should be able to remain stateless. All state is carried by the MessageGroup and its management is delegated to the MessageGroupStore. The MessageGroupStore interface is defined as follows:

public interface MessageGroupStore {

    int getMessageCountForAllMessageGroups();

    int getMarkedMessageCountForAllMessageGroups();

    int getMessageGroupCount();

    MessageGroup getMessageGroup(Object groupId);

    MessageGroup addMessageToGroup(Object groupId, Message<?> message);

    MessageGroup markMessageGroup(MessageGroup group);

    MessageGroup removeMessageFromGroup(Object key, Message<?> messageToRemove);

    MessageGroup markMessageFromGroup(Object key, Message<?> messageToMark);

    void removeMessageGroup(Object groupId);

    void registerMessageGroupExpiryCallback(MessageGroupCallback callback);

    int expireMessageGroups(long timeout);
}

For more information, see the Javadoc.

The MessageGroupStore accumulates state information in MessageGroups while waiting for a release strategy to be triggered, and that event might not ever happen. So, to prevent stale messages from lingering, and for volatile stores to provide a hook for cleaning up when the application shuts down, the MessageGroupStore lets you register callbacks to apply to its MessageGroups when they expire. The interface is very straightforward, as the following listing shows:

public interface MessageGroupCallback {

    void execute(MessageGroupStore messageGroupStore, MessageGroup group);

}

The callback has direct access to the store and the message group so that it can manage the persistent state (for example, by entirely removing the group from the store).

The MessageGroupStore maintains a list of these callbacks, which it applies, on demand, to all messages whose timestamps are earlier than a time supplied as a parameter (see the registerMessageGroupExpiryCallback(..) and expireMessageGroups(..) methods, described earlier).

It is important not to use the same MessageGroupStore instance in different aggregator components, when you intend to rely on the expireMessageGroups functionality. Every AbstractCorrelatingMessageHandler registers its own MessageGroupCallback based on the forceComplete() callback. This way each group for expiration may be completed or discarded by the wrong aggregator. Starting with version 5.0.10, a UniqueExpiryCallback is used from the AbstractCorrelatingMessageHandler for the registration callback in the MessageGroupStore. The MessageGroupStore, in turn, checks for presence an instance of this class and logs an error with an appropriate message if one is already present in the callbacks set. This way the Framework disallows usage of the MessageGroupStore instance in different aggregators/resequencers to avoid the mentioned side effect of expiration the groups not created by the particular correlation handler.

You can call the expireMessageGroups method with a timeout value. Any message older than the current time minus this value is expired and has the callbacks applied. Thus, it is the user of the store that defines what is meant by message group “expiry”.

As a convenience for users, Spring Integration provides a wrapper for the message expiry in the form of a MessageGroupStoreReaper, as the following example shows:

<bean id="reaper" class="org...MessageGroupStoreReaper">
    <property name="messageGroupStore" ref="messageStore"/>
    <property name="timeout" value="30000"/>
</bean>

<task:scheduled-tasks scheduler="scheduler">
    <task:scheduled ref="reaper" method="run" fixed-rate="10000"/>
</task:scheduled-tasks>

The reaper is a Runnable. In the preceding example, the message group store’s expire method is called every ten seconds. The timeout itself is 30 seconds.

It is important to understand that the 'timeout' property of MessageGroupStoreReaper is an approximate value and is impacted by the rate of the task scheduler, since this property is only checked on the next scheduled execution of the MessageGroupStoreReaper task. For example, if the timeout is set for ten minutes but the MessageGroupStoreReaper task is scheduled to run every hour and the last execution of the MessageGroupStoreReaper task happened one minute before the timeout, the MessageGroup does not expire for the next 59 minutes. Consequently, we recommend setting the rate to be at least equal to the value of the timeout or shorter.

In addition to the reaper, the expiry callbacks are invoked when the application shuts down through a lifecycle callback in the AbstractCorrelatingMessageHandler.

The AbstractCorrelatingMessageHandler registers its own expiry callback, and this is the link with the boolean flag send-partial-result-on-expiry in the XML configuration of the aggregator. If the flag is set to true, then, when the expiry callback is invoked, any unmarked messages in groups that are not yet released can be sent on to the output channel.

Since the MessageGroupStoreReaper is called from a scheduled task, and may result in the production of a message (depending on the sendPartialResultOnExpiry option) to a downstream integration flow, it is recommended to supply a custom TaskScheduler with a MessagePublishingErrorHandler to handler exceptions via an errorChannel, as it might be expected by the regular aggregator release functionality. The same logic applies for group timeout functionality which also relies on a TaskScheduler. See Error Handling for more information.

When a shared MessageStore is used for different correlation endpoints, you must configure a proper CorrelationStrategy to ensure uniqueness for group IDs. Otherwise, unexpected behavior may happen when one correlation endpoint releases or expire messages from others. Messages with the same correlation key are stored in the same message group.

Some MessageStore implementations allow using the same physical resources, by partitioning the data. For example, the JdbcMessageStore has a region property, and the MongoDbMessageStore has a collectionName property.

For more information about the MessageStore interface and its implementations, see Message Store.

Flux Aggregator

In version 5.2, the FluxAggregatorMessageHandler component has been introduced. It is based on the Project Reactor Flux.groupBy() and Flux.window() operators. The incoming messages are emitted into the FluxSink initiated by the Flux.create() in the constructor of this component. If the outputChannel is not provided or it is not an instance of ReactiveStreamsSubscribableChannel, the subscription to the main Flux is done from the Lifecycle.start() implementation. Otherwise, it is postponed to the subscription done by the ReactiveStreamsSubscribableChannel implementation. The messages are grouped by the Flux.groupBy() using a CorrelationStrategy for the group key. By default, the IntegrationMessageHeaderAccessor.CORRELATION_ID header of the message is consulted.

By default, every closed window is released as a Flux in payload of a message to produce. This message contains all the headers from the first message in the window. This Flux in the output message payload must be subscribed and processed downstream. Such a logic can be customized (or superseded) by the setCombineFunction(Function<Flux<Message<?>>, Mono<Message<?>>>) configuration option of the FluxAggregatorMessageHandler. For example, if we would like to have a List of payloads in the final message, we can configure a Flux.collectList() like this:

fluxAggregatorMessageHandler.setCombineFunction(
                (messageFlux) ->
                        messageFlux
                                .map(Message::getPayload)
                                .collectList()
                                .map(GenericMessage::new));

There are several options in the FluxAggregatorMessageHandler to select an appropriate window strategy:

  • setBoundaryTrigger(Predicate<Message<?>>) - is propagated to the Flux.windowUntil() operator. See its JavaDocs for more information. Has a precedence over all other window options.

  • setWindowSize(int) and setWindowSizeFunction(Function<Message<?>, Integer>) - is propagated to the Flux.window(int) or windowTimeout(int, Duration). By default, a window size is calculated from the first message in group and its IntegrationMessageHeaderAccessor.SEQUENCE_SIZE header.

  • setWindowTimespan(Duration) - is propagated to the Flux.window(Duration) or windowTimeout(int, Duration) depending on the window size configuration.

  • setWindowConfigurer(Function<Flux<Message<?>>, Flux<Flux<Message<?>>>>) - a function to apply a transformation into the grouped fluxes for any custom window operation not covered by the exposed options.

Since this component is a MessageHandler implementation it can simply be used as a @Bean definition together with a @ServiceActivator messaging annotation. With Java DSL it can be used from the .handle() EIP-method. The sample below demonstrates how we can register an IntegrationFlow at runtime and how a FluxAggregatorMessageHandler can be correlated with a splitter upstream:

IntegrationFlow fluxFlow =
        (flow) -> flow
                .split()
                .channel(MessageChannels.flux())
                .handle(new FluxAggregatorMessageHandler());

IntegrationFlowContext.IntegrationFlowRegistration registration =
        this.integrationFlowContext.registration(fluxFlow)
                .register();

Flux<Message<?>> window =
        registration.getMessagingTemplate()
                .convertSendAndReceive(new Integer[] { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 }, Flux.class);

Condition on the Message Group

Starting with version 5.5, an AbstractCorrelatingMessageHandler (including its Java & XML DSLs) exposes a groupConditionSupplier option of the BiFunction<Message<?>, String, String> implementation. This function is used on each message added to the group and a result condition sentence is stored into the group for future consideration. The ReleaseStrategy may consult this condition instead of iterating over all the messages in the group. See GroupConditionProvider JavaDocs and Message Group Condition for more information.

See also File Aggregator.

Resequencer

The resequencer is related to the aggregator but serves a different purpose. While the aggregator combines messages, the resequencer passes messages through without changing them.

Functionality

The resequencer works in a similar way to the aggregator, in the sense that it uses the CORRELATION_ID to store messages in groups. The difference is that the Resequencer does not process the messages in any way. Instead, it releases them in the order of their SEQUENCE_NUMBER header values.

With respect to that, you can opt to release all messages at once (after the whole sequence, according to the SEQUENCE_SIZE, and other possibilities) or as soon as a valid sequence is available. (We cover what we mean by "a valid sequence" later in this chapter.)

The resequencer is intended to resequence relatively short sequences of messages with small gaps. If you have a large number of disjoint sequences with many gaps, you may experience performance issues.

Configuring a Resequencer

See Aggregators and Resequencers for configuring a resequencer in Java DSL.

Configuring a resequencer requires only including the appropriate element in XML.

The following example shows a resequencer configuration:

<int:channel id="inputChannel"/>

<int:channel id="outputChannel"/>

<int:resequencer id="completelyDefinedResequencer"  (1)
  input-channel="inputChannel"  (2)
  output-channel="outputChannel"  (3)
  discard-channel="discardChannel"  (4)
  release-partial-sequences="true"  (5)
  message-store="messageStore"  (6)
  send-partial-result-on-expiry="true"  (7)
  send-timeout="86420000"  (8)
  correlation-strategy="correlationStrategyBean"  (9)
  correlation-strategy-method="correlate"  (10)
  correlation-strategy-expression="headers['something']"  (11)
  release-strategy="releaseStrategyBean"  (12)
  release-strategy-method="release"  (13)
  release-strategy-expression="size() == 10"  (14)
  empty-group-min-timeout="60000"  (15)

  lock-registry="lockRegistry"  (16)

  group-timeout="60000"  (17)
  group-timeout-expression="size() ge 2 ? 100 : -1"  (18)
  scheduler="taskScheduler" />  (19)
  expire-group-upon-timeout="false" />  (20)
1 The id of the resequencer is optional.
2 The input channel of the resequencer. Required.
3 The channel to which the resequencer sends the reordered messages. Optional.
4 The channel to which the resequencer sends the messages that timed out (if send-partial-result-on-timeout is set to false). Optional.
5 Whether to send out ordered sequences as soon as they are available or only after the whole message group arrives. Optional. (The default is false.)
6 A reference to a MessageGroupStore that can be used to store groups of messages under their correlation key until they are complete. Optional. (The default is a volatile in-memory store.)
7 Whether, upon the expiration of the group, the ordered group should be sent out (even if some of the messages are missing). Optional. (The default is false.) See Managing State in an Aggregator: MessageGroupStore.
8 The timeout interval to wait when sending a reply Message to the output-channel or discard-channel. Defaults to -1, which blocks indefinitely. It is applied only if the output channel has some 'sending' limitations, such as a QueueChannel with a fixed 'capacity'. In this case, a MessageDeliveryException is thrown. The send-timeout is ignored for AbstractSubscribableChannel implementations. For group-timeout(-expression), the MessageDeliveryException from the scheduled expire task leads this task to be rescheduled. Optional.
9 A reference to a bean that implements the message correlation (grouping) algorithm. The bean can be an implementation of the CorrelationStrategy interface or a POJO. In the latter case, the correlation-strategy-method attribute must also be defined. Optional. (By default, the aggregator uses the IntegrationMessageHeaderAccessor.CORRELATION_ID header.)
10 A method that is defined on the bean referenced by correlation-strategy and that implements the correlation decision algorithm. Optional, with restrictions (requires correlation-strategy to be present).
11 A SpEL expression representing the correlation strategy. Example: "headers['something']". Only one of correlation-strategy or correlation-strategy-expression is allowed.
12 A reference to a bean that implements the release strategy. The bean can be an implementation of the ReleaseStrategy interface or a POJO. In the latter case, the release-strategy-method attribute must also be defined. Optional (by default, the aggregator will use the IntegrationMessageHeaderAccessor.SEQUENCE_SIZE header attribute).
13 A method that is defined on the bean referenced by release-strategy and that implements the completion decision algorithm. Optional, with restrictions (requires release-strategy to be present).
14 A SpEL expression representing the release strategy. The root object for the expression is a MessageGroup. Example: "size() == 5". Only one of release-strategy or release-strategy-expression is allowed.
15 Only applies if a MessageGroupStoreReaper is configured for the <resequencer> MessageStore. By default, when a MessageGroupStoreReaper is configured to expire partial groups, empty groups are also removed. Empty groups exist after a group is released normally. This is to enable the detection and discarding of late-arriving messages. If you wish to expire empty groups on a longer schedule than expiring partial groups, set this property. Empty groups are then not removed from the MessageStore until they have not been modified for at least this number of milliseconds. Note that the actual time to expire an empty group is also affected by the reaper’s timeout property, and it could be as much as this value plus the timeout.
16 See Configuring an Aggregator with XML.
17 See Configuring an Aggregator with XML.
18 See Configuring an Aggregator with XML.
19 See Configuring an Aggregator with XML.
20 By default, when a group is completed due to a timeout (or by a MessageGroupStoreReaper), the empty group’s metadata is retained. Late arriving messages are immediately discarded. Set this to true to remove the group completely. Then, late arriving messages start a new group and are not be discarded until the group again times out. The new group is never released normally because of the “hole” in the sequence range that caused the timeout. Empty groups can be expired (completely removed) later by using a MessageGroupStoreReaper together with the empty-group-min-timeout attribute. Starting with version 5.0, empty groups are also scheduled for removal after the empty-group-min-timeout elapses. The default is 'false'.

Also see Aggregator Expiring Groups for more information.

Since there is no custom behavior to be implemented in Java classes for resequencers, there is no annotation support for it.

Message Handler Chain

The MessageHandlerChain is an implementation of MessageHandler that can be configured as a single message endpoint while actually delegating to a chain of other handlers, such as filters, transformers, splitters, and so on. When several handlers need to be connected in a fixed, linear progression, this can lead to a much simpler configuration. For example, it is fairly common to provide a transformer before other components. Similarly, when you provide a filter before some other component in a chain, you essentially create a selective consumer. In either case, the chain requires only a single input-channel and a single output-channel, eliminating the need to define channels for each individual component.

The MessageHandlerChain is mostly designed for an XML configuration. For Java DSL, an IntegrationFlow definition can be treated as a chain component, but it has nothing to do with concepts and principles described in this chapter below. See Java DSL for more information.
Spring Integration’s Filter provides a boolean property: throwExceptionOnRejection. When you provide multiple selective consumers on the same point-to-point channel with different acceptance criteria, you should set this value 'true' (the default is false) so that the dispatcher knows that the message was rejected and, as a result, tries to pass the message on to other subscribers. If the exception were not thrown, it would appear to the dispatcher that the message had been passed on successfully even though the filter had dropped the message to prevent further processing. If you do indeed want to “drop” the messages, the filter’s 'discard-channel' might be useful, since it does give you a chance to perform some operation with the dropped message (such as sending it to a JMS queue or writing it to a log).

The handler chain simplifies configuration while internally maintaining the same degree of loose coupling between components, and it is trivial to modify the configuration if at some point a non-linear arrangement is required.

Internally, the chain is expanded into a linear setup of the listed endpoints, separated by anonymous channels. The reply channel header is not taken into account within the chain. Only after the last handler is invoked is the resulting message forwarded to the reply channel or the chain’s output channel. Because of this setup, all handlers except the last must implement the MessageProducer interface (which provides a 'setOutputChannel()' method). If the outputChannel on the MessageHandlerChain is set, the last handler needs only an output channel.

As with other endpoints, the output-channel is optional. If there is a reply message at the end of the chain, the output-channel takes precedence. However, if it is not available, the chain handler checks for a reply channel header on the inbound message as a fallback.

In most cases, you need not implement MessageHandler yourself. The next section focuses on namespace support for the chain element. Most Spring Integration endpoints, such as service activators and transformers, are suitable for use within a MessageHandlerChain.

Configuring a Chain

The <chain> element provides an input-channel attribute. If the last element in the chain is capable of producing reply messages (optional), it also supports an output-channel attribute. The sub-elements are then filters, transformers, splitters, and service-activators. The last element may also be a router or an outbound channel adapter. The following example shows a chain definition:

<int:chain input-channel="input" output-channel="output">
    <int:filter ref="someSelector" throw-exception-on-rejection="true"/>
    <int:header-enricher>
        <int:header name="thing1" value="thing2"/>
    </int:header-enricher>
    <int:service-activator ref="someService" method="someMethod"/>
</int:chain>

The <header-enricher> element used in the preceding example sets a message header named thing1 with a value of thing2 on the message. A header enricher is a specialization of Transformer that touches only header values. You could obtain the same result by implementing a MessageHandler that did the header modifications and wiring that as a bean, but the header-enricher is a simpler option.

The <chain> can be configured as the last “closed-box” consumer of the message flow. For this solution, you can to put it at the end of the <chain> some <outbound-channel-adapter>, as the following example shows:

<int:chain input-channel="input">
    <int-xml:marshalling-transformer marshaller="marshaller" result-type="StringResult" />
    <int:service-activator ref="someService" method="someMethod"/>
    <int:header-enricher>
        <int:header name="thing1" value="thing2"/>
    </int:header-enricher>
    <int:logging-channel-adapter level="INFO" log-full-message="true"/>
</int:chain>
Disallowed Attributes and Elements

Certain attributes, such as order and input-channel are not allowed to be specified on components used within a chain. The same is true for the poller sub-element.

For the Spring Integration core components, the XML schema itself enforces some of these constraints. However, for non-core components or your own custom components, these constraints are enforced by the XML namespace parser, not by the XML schema.

These XML namespace parser constraints were added with Spring Integration 2.2. If you try to use disallowed attributes and elements, the XML namespace parser throws a BeanDefinitionParsingException.

Using the 'id' Attribute

Beginning with Spring Integration 3.0, if a chain element is given an id attribute, the bean name for the element is a combination of the chain’s id and the id of the element itself. Elements without id attributes are not registered as beans, but each one is given a componentName that includes the chain id. Consider the following example:

<int:chain id="somethingChain" input-channel="input">
    <int:service-activator id="somethingService" ref="someService" method="someMethod"/>
    <int:object-to-json-transformer/>
</int:chain>

In the preceding example:

  • The <chain> root element has an id of 'somethingChain'. Consequently, the AbstractEndpoint implementation (PollingConsumer or EventDrivenConsumer, depending on the input-channel type) bean takes this value as its bean name.

  • The MessageHandlerChain bean acquires a bean alias ('somethingChain.handler'), which allows direct access to this bean from the BeanFactory.

  • The <service-activator> is not a fully fledged messaging endpoint (it is not a PollingConsumer or EventDrivenConsumer). It is a MessageHandler within the <chain>. In this case, the bean name registered with the BeanFactory is 'somethingChain$child.somethingService.handler'.

  • The componentName of this ServiceActivatingHandler takes the same value but without the '.handler' suffix. It becomes 'somethingChain$child.somethingService'.

  • The last <chain> sub-component, <object-to-json-transformer>, does not have an id attribute. Its componentName is based on its position in the <chain>. In this case, it is 'somethingChain$child#1'. (The final element of the name is the order within the chain, beginning with '#0'). Note, this transformer is not registered as a bean within the application context, so it does not get a beanName. However, its componentName has a value that is useful for logging and other purposes.

The id attribute for <chain> elements lets them be eligible for JMX export, and they are trackable in the message history. You can access them from the BeanFactory by using the appropriate bean name, as discussed earlier.

It is useful to provide an explicit id attribute on <chain> elements to simplify the identification of sub-components in logs and to provide access to them from the BeanFactory etc.

Calling a Chain from within a Chain

Sometimes, you need to make a nested call to another chain from within a chain and then come back and continue execution within the original chain. To accomplish this, you can use a messaging gateway by including a <gateway> element, as the following example shows:

<int:chain id="main-chain" input-channel="in" output-channel="out">
    <int:header-enricher>
      <int:header name="name" value="Many" />
    </int:header-enricher>
    <int:service-activator>
      <bean class="org.foo.SampleService" />
    </int:service-activator>
    <int:gateway request-channel="inputA"/>
</int:chain>

<int:chain id="nested-chain-a" input-channel="inputA">
    <int:header-enricher>
        <int:header name="name" value="Moe" />
    </int:header-enricher>
    <int:gateway request-channel="inputB"/>
    <int:service-activator>
        <bean class="org.foo.SampleService" />
    </int:service-activator>
</int:chain>

<int:chain id="nested-chain-b" input-channel="inputB">
    <int:header-enricher>
        <int:header name="name" value="Jack" />
    </int:header-enricher>
    <int:service-activator>
        <bean class="org.foo.SampleService" />
    </int:service-activator>
</int:chain>

In the preceding example, nested-chain-a is called at the end of main-chain processing by the 'gateway' element configured there. While in nested-chain-a, a call to a nested-chain-b is made after header enrichment. Then the flow comes back to finish execution in nested-chain-b. Finally, the flow returns to main-chain. When the nested version of a <gateway> element is defined in the chain, it does not require the service-interface attribute. Instead, it takes the message in its current state and places it on the channel defined in the request-channel attribute. When the downstream flow initiated by that gateway completes, a Message is returned to the gateway and continues its journey within the current chain.

Scatter-Gather

Starting with version 4.1, Spring Integration provides an implementation of the scatter-gather enterprise integration pattern. It is a compound endpoint for which the goal is to send a message to the recipients and aggregate the results. As noted in Enterprise Integration Patterns, it is a component for scenarios such as “best quote”, where we need to request information from several suppliers and decide which one provides us with the best term for the requested item.

Previously, the pattern could be configured by using discrete components. This enhancement brings more convenient configuration.

The ScatterGatherHandler is a request-reply endpoint that combines a PublishSubscribeChannel (or a RecipientListRouter) and an AggregatingMessageHandler. The request message is sent to the scatter channel, and the ScatterGatherHandler waits for the reply that the aggregator sends to the outputChannel.

Functionality

The Scatter-Gather pattern suggests two scenarios: “auction” and “distribution”. In both cases, the aggregation function is the same and provides all the options available for the AggregatingMessageHandler. (Actually, the ScatterGatherHandler requires only an AggregatingMessageHandler as a constructor argument.) See Aggregator for more information.

Auction

The auction Scatter-Gather variant uses “publish-subscribe” logic for the request message, where the “scatter” channel is a PublishSubscribeChannel with apply-sequence="true". However, this channel can be any MessageChannel implementation (as is the case with the request-channel in the ContentEnricher — see Content Enricher). However, in this case, you should create your own custom correlationStrategy for the aggregation function.

Distribution

The distribution Scatter-Gather variant is based on the RecipientListRouter (see RecipientListRouter) with all available options for the RecipientListRouter. This is the second ScatterGatherHandler constructor argument. If you want to rely on only the default correlationStrategy for the recipient-list-router and the aggregator, you should specify apply-sequence="true". Otherwise, you should supply a custom correlationStrategy for the aggregator. Unlike the PublishSubscribeChannel variant (the auction variant), having a recipient-list-router selector option lets filter target suppliers based on the message. With apply-sequence="true", the default sequenceSize is supplied, and the aggregator can release the group correctly. The distribution option is mutually exclusive with the auction option.

The applySequence=true is required only for plain Java configuration based on the ScatterGatherHandler(MessageHandler scatterer, MessageHandler gatherer) constructor configuration since the framework cannot mutate externally provided components. For convenience, the XML and Java DSL for Scatter-Gather sets applySequence to true starting with version 6.0.

For both the auction and the distribution variants, the request (scatter) message is enriched with the gatherResultChannel header to wait for a reply message from the aggregator.

By default, all suppliers should send their result to the replyChannel header (usually by omitting the output-channel from the ultimate endpoint). However, the gatherChannel option is also provided, letting suppliers send their reply to that channel for the aggregation.

Configuring a Scatter-Gather Endpoint

The following example shows Java configuration for the bean definition for Scatter-Gather:

@Bean
public MessageHandler distributor() {
    RecipientListRouter router = new RecipientListRouter();
    router.setApplySequence(true);
    router.setChannels(Arrays.asList(distributionChannel1(), distributionChannel2(),
            distributionChannel3()));
    return router;
}

@Bean
public MessageHandler gatherer() {
	return new AggregatingMessageHandler(
			new ExpressionEvaluatingMessageGroupProcessor("^[payload gt 5] ?: -1D"),
			new SimpleMessageStore(),
			new HeaderAttributeCorrelationStrategy(
			       IntegrationMessageHeaderAccessor.CORRELATION_ID),
			new ExpressionEvaluatingReleaseStrategy("size() == 2"));
}

@Bean
@ServiceActivator(inputChannel = "distributionChannel")
public MessageHandler scatterGatherDistribution() {
	ScatterGatherHandler handler = new ScatterGatherHandler(distributor(), gatherer());
	handler.setOutputChannel(output());
	return handler;
}

In the preceding example, we configure the RecipientListRouter distributor bean with applySequence="true" and the list of recipient channels. The next bean is for an AggregatingMessageHandler. Finally, we inject both those beans into the ScatterGatherHandler bean definition and mark it as a @ServiceActivator to wire the scatter-gather component into the integration flow.

The following example shows how to configure the <scatter-gather> endpoint by using the XML namespace:

<scatter-gather
		id=""  (1)
		auto-startup=""  (2)
		input-channel=""  (3)
		output-channel=""  (4)
		scatter-channel=""  (5)
		gather-channel=""  (6)
		order=""  (7)
		phase=""  (8)
		send-timeout=""  (9)
		gather-timeout=""  (10)
		requires-reply="" > (11)
			<scatterer/>  (12)
			<gatherer/>  (13)
</scatter-gather>
1 The id of the endpoint. The ScatterGatherHandler bean is registered with an alias of id + '.handler'. The RecipientListRouter bean is registered with an alias of id + '.scatterer'. The AggregatingMessageHandler`bean is registered with an alias of `id + '.gatherer'. Optional. (The BeanFactory generates a default id value.)
2 Lifecycle attribute signaling whether the endpoint should be started during application context initialization. In addition, the ScatterGatherHandler also implements Lifecycle and starts and stops gatherEndpoint, which is created internally if a gather-channel is provided. Optional. (The default is true.)
3 The channel on which to receive request messages to handle them in the ScatterGatherHandler. Required.
4 The channel to which the ScatterGatherHandler sends the aggregation results. Optional. (Incoming messages can specify a reply channel themselves in the replyChannel message header).
5 The channel to which to send the scatter message for the auction scenario. Optional. Mutually exclusive with the <scatterer> sub-element.
6 The channel on which to receive replies from each supplier for the aggregation. It is used as the replyChannel header in the scatter message. Optional. By default, the FixedSubscriberChannel is created.
7 The order of this component when more than one handler is subscribed to the same DirectChannel (use for load balancing purposes). Optional.
8 Specifies the phase in which the endpoint should be started and stopped. The startup order proceeds from lowest to highest, and the shutdown order is from highest to lowest. By default, this value is Integer.MAX_VALUE, meaning that this container starts as late as possible and stops as soon as possible. Optional.
9 The timeout interval to wait when sending a reply Message to the output-channel. By default, the send() blocks for one second. It applies only if the output channel has some 'sending' limitations — for example, a QueueChannel with a fixed 'capacity' that is full. In this case, a MessageDeliveryException is thrown. The send-timeout is ignored for AbstractSubscribableChannel implementations. For group-timeout(-expression), the MessageDeliveryException from the scheduled expire task leads this task to be rescheduled. Optional.
10 Lets you specify how long the scatter-gather waits for the reply message before returning. By default, it waits indefinitely. 'null' is returned if the reply times out. Optional. It defaults to -1, meaning to wait indefinitely.
11 Specifies whether the scatter-gather must return a non-null value. This value is true by default. Consequently, a ReplyRequiredException is thrown when the underlying aggregator returns a null value after gather-timeout. Note, if null is a possibility, the gather-timeout should be specified to avoid an indefinite wait.
12 The <recipient-list-router> options. Optional. Mutually exclusive with scatter-channel attribute.
13 The <aggregator> options. Required.

Error Handling

Since Scatter-Gather is a multi request-reply component, error handling has some extra complexity. In some cases, it is better to just catch and ignore downstream exceptions if the ReleaseStrategy allows the process to finish with fewer replies than requests. In other cases something like a “compensation message” should be considered for returning from sub-flow, when an error happens.

Every async sub-flow should be configured with a errorChannel header for the proper error message sending from the MessagePublishingErrorHandler. Otherwise, an error will be sent to the global errorChannel with the common error handling logic. See Error Handling for more information about async error processing.

Synchronous flows may use an ExpressionEvaluatingRequestHandlerAdvice for ignoring the exception or returning a compensation message. When an exception is thrown from one of the sub-flows to the ScatterGatherHandler, it is just re-thrown to upstream. This way all other sub-flows will work for nothing and their replies are going to be ignored in the ScatterGatherHandler. This might be an expected behavior sometimes, but in most cases it would be better to handle the error in the particular sub-flow without impacting all others and the expectations in the gatherer.

Starting with version 5.1.3, the ScatterGatherHandler is supplied with the errorChannelName option. It is populated to the errorChannel header of the scatter message and is used in the when async error happens or can be used in the regular synchronous sub-flow for directly sending an error message.

The sample configuration below demonstrates async error handling by returning a compensation message:

@Bean
public IntegrationFlow scatterGatherAndExecutorChannelSubFlow(TaskExecutor taskExecutor) {
    return f -> f
            .scatterGather(
                    scatterer -> scatterer
                            .recipientFlow(f1 -> f1.transform(p -> "Sub-flow#1"))
                            .recipientFlow(f2 -> f2
                                    .channel(c -> c.executor(taskExecutor))
                                    .transform(p -> {
                                        throw new RuntimeException("Sub-flow#2");
                                    })),
                    null,
                    s -> s.errorChannel("scatterGatherErrorChannel"));
}

@ServiceActivator(inputChannel = "scatterGatherErrorChannel")
public Message<?> processAsyncScatterError(MessagingException payload) {
    return MessageBuilder.withPayload(payload.getCause().getCause())
            .copyHeaders(payload.getFailedMessage().getHeaders())
            .build();
}

To produce a proper reply, we have to copy headers (including replyChannel and errorChannel) from the failedMessage of the MessagingException that has been sent to the scatterGatherErrorChannel by the MessagePublishingErrorHandler. This way the target exception is returned to the gatherer of the ScatterGatherHandler for reply messages group completion. Such an exception payload can be filtered out in the MessageGroupProcessor of the gatherer or processed other way downstream, after the scatter-gather endpoint.

Before sending scattering results to the gatherer, ScatterGatherHandler reinstates the request message headers, including reply and error channels if any. This way errors from the AggregatingMessageHandler are going to be propagated to the caller, even if an async hand off is applied in scatter recipient subflows. For successful operation, a gatherResultChannel, originalReplyChannel and originalErrorChannel headers must be transferred back to replies from scatter recipient subflows. In this case a reasonable, finite gatherTimeout must be configured for the ScatterGatherHandler. Otherwise, it is going to be blocked waiting for a reply from the gatherer forever, by default.

Thread Barrier

Sometimes, we need to suspend a message flow thread until some other asynchronous event occurs. For example, consider an HTTP request that publishes a message to RabbitMQ. We might wish to not reply to the user until the RabbitMQ broker has issued an acknowledgment that the message was received.

In version 4.2, Spring Integration introduced the <barrier/> component for this purpose. The underlying MessageHandler is the BarrierMessageHandler. This class also implements MessageTriggerAction, in which a message passed to the trigger() method releases a corresponding thread in the handleRequestMessage() method (if present).

The suspended thread and trigger thread are correlated by invoking a CorrelationStrategy on the messages. When a message is sent to the input-channel, the thread is suspended for up to requestTimeout milliseconds, waiting for a corresponding trigger message. The default correlation strategy uses the IntegrationMessageHeaderAccessor.CORRELATION_ID header. When a trigger message arrives with the same correlation, the thread is released. The message sent to the output-channel after release is constructed by using a MessageGroupProcessor. By default, the message is a Collection<?> of the two payloads, and the headers are merged by using a DefaultAggregatingMessageGroupProcessor.

If the trigger() method is invoked first (or after the main thread times out), it is suspended for up to triggerTimeout waiting for the suspending message to arrive. If you do not want to suspend the trigger thread, consider handing off to a TaskExecutor instead so that its thread is suspended instead.
Prior version 5.4, there was only one timeout option for both request and trigger messages, but in some use-case it is better to have different timeouts for those actions. Therefore requestTimeout and triggerTimeout options have been introduced.

The requires-reply property determines the action to take if the suspended thread times out before the trigger message arrives. By default, it is false, which means the endpoint returns null, the flow ends, and the thread returns to the caller. When true, a ReplyRequiredException is thrown.

You can call the trigger() method programmatically (obtain the bean reference by using the name, barrier.handler — where barrier is the bean name of the barrier endpoint). Alternatively, you can configure an <outbound-channel-adapter/> to trigger the release.

Only one thread can be suspended with the same correlation. The same correlation can be used multiple times but only once concurrently. An exception is thrown if a second thread arrives with the same correlation.

The following example shows how to use a custom header for correlation:

Java
@ServiceActivator(inputChannel="in")
@Bean
public BarrierMessageHandler barrier(MessageChannel out, MessageChannel lateTriggerChannel) {
    BarrierMessageHandler barrier = new BarrierMessageHandler(10000);
    barrier.setOutputChannel(out());
    barrier.setDiscardChannel(lateTriggerChannel);
    return barrier;
}

@ServiceActivator (inputChannel="release")
@Bean
public MessageHandler releaser(MessageTriggerAction barrier) {
    return barrier::trigger;
}
XML
<int:barrier id="barrier1" input-channel="in" output-channel="out"
        correlation-strategy-expression="headers['myHeader']"
        output-processor="myOutputProcessor"
        discard-channel="lateTriggerChannel"
        timeout="10000">
</int:barrier>

<int:outbound-channel-adapter channel="release" ref="barrier1.handler" method="trigger" />

Depending on which one has a message arrive first, either the thread sending a message to in or the thread sending a message to release waits for up to ten seconds until the other message arrives. When the message is released, the out channel is sent a message that combines the result of invoking the custom MessageGroupProcessor bean, named myOutputProcessor. If the main thread times out and a trigger arrives later, you can configure a discard channel to which the late trigger is sent.

For an example of this component, see the barrier sample application.